Data Mining Research Topics for MS PhD

Data Mining Research Topics
Data Mining Research Topics

I am sharing with you some of the research topics regarding data mining that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

Categorizing the research into 4 categories in this tutorial


  1. Industry-based research in data mining
  2. Problem-based research in data mining
  3. Topic-based research in data mining
  4. 900+ research ideas in data mining

Industry-based research in data mining

List of some famous Industries in the world for industry-based research in data mining

  1. Automobile Wholesaling
  2. Pharmaceuticals Wholesaling
  3. Life Insurance & Annuities
  4. Online Computer Software Sales
  5. Supermarkets & Grocery Stores
  6. Electric Power Transmission
  7. IT Consulting
  8. Wholesale Trade Agents and Brokers
  9. Retirement & Pension Plans
  10. Petroleum Refining
  11. New Car Dealers
  12. Drug, Cosmetic & Toiletry Wholesaling
  13. Pharmacy Benefit Management
  14. Property, Casualty and Direct Insurance
  15. Colleges & Universities
  16. Public Schools
  17. Warehouse Clubs & Supercenters
  18. Hospitals
  19. Health & Medical Insurance
  20. Gasoline & Petroleum Wholesaling
  21. Gasoline & Petroleum Bulk Stations
  22. Commercial Banking
  23. Real Estate Loans & Collateralized Debt
  24. E-Commerce & Online Auctions
  25. Electronic Part & Equipment Wholesaling

Problem-based research in data mining

List of some problems for research in data mining.

  1. Crime Rate Prediction
  2. Fraud Detection
  3. Website Evaluation
  4. Market Analysis
  5. Financial Analysis
  6. Customer trend analysis

Topic-based research in data mining

  1. Data Warehouse and OLAP
    • Data Warehouse and DBMS
    • Multidimensional data model
    • OLAP operations
    • Example: loan data set
  2. Data preprocessing
    • Data cleaning
    • Data transformation
    • Data reduction
    • Discretization and generating concept hierarchies
    • Installing Weka 3 Data Mining System
    • Experiments with Weka – filters, discretization
  3. Data mining knowledge representation
    • Task relevant data
    • Background knowledge
    • Interestingness measures
    • Representing input data and output knowledge
    • Visualization techniques
    • Experiments with Weka – visualization
  4. Attribute-oriented analysis
    • Attribute generalization
    • Attribute relevance
    • Class comparison
    • Statistical measures
    • Experiments with Weka – using filters and statistics
  5. Data mining algorithms: Association rules
    • Motivation and terminology
    • Example: mining weather data
    • Basic idea: item sets
    • Generating item sets and rules efficiently
    • Correlation analysis
    • Experiments with Weka – mining association rules
  6. Data mining algorithms: Classification
    • Basic learning/mining tasks
    • Inferring rudimentary rules: 1R algorithm
    • Decision trees
    • Covering rules
    • Experiments with Weka – decision trees, rules
  7. Data mining algorithms: Prediction
    • The prediction task
    • Statistical (Bayesian) classification
    • Bayesian networks
    • Instance-based methods (nearest neighbor)
    • Linear models
    • Experiments with Weka – Prediction
  8. Clustering
    • Basic issues in clustering
    • First conceptual clustering system: Cluster/2
    • Partitioning methods: k-means, expectation-maximization (EM)
    • Hierarchical methods: distance-based agglomerative and divisible clustering
    • Conceptual clustering: Cobweb
    • Experiments with Weka – k-means, EM, Cobweb
  9. Advanced techniques, Data Mining software, and applications
    • Text mining: extracting attributes (keywords), structural approaches (parsing, soft parsing).
    • Bayesian approach to classifying text
    • Web mining: classifying web pages, extracting knowledge from the web
    • Data Mining software and applications


Data Mining Research Topic ideas for MS, or Ph.D. Degree

  1. Data mining for education
  2. Discovering knowledge in data
  3. Data preparation for data mining
  4. Data mining: statistics
  5. Principles of data mining
  6. Data mining in e-learning
  7. Meta-learning: Applications to data mining
  8. Active Data Mining.
  9. Advanced data mining techniques
  10. Data mining and KDD: Promise and challenges
  11. Introduction to business data mining
  12. Methodological and practical aspects of data mining
  13. Future trends in data mining
  14. The Quest Data Mining System.
  15. Data mining as an industry
  16. Data mining: opportunities and challenges
  17. Statistical themes and lessons for data mining
  18. Mathematical tools for data mining
  19. Enhancing teaching and learning through educational data mining and learning analytics: An issue brief
  20. From data mining to knowledge discovery in databases
  21. Untangling text data mining
  22. Data mining: a knowledge discovery approach
  23. Data mining in websites
  24. Data mining applications in healthcare
  25. Data mining in agriculture
  26. Data mining techniques and applications
  27. Data mining with computational intelligence
  28. Data mining for scientific and engineering applications
  29. Applied data mining
  30. Geographic data mining and knowledge discovery
  31. Graph-based data mining
  32. Data mining in manufacturing
  33. A microeconomic view of data mining
  34. Data mining in healthcare
  35. Data preprocessing in data mining
  36. Data mining for biology
  37. Machine learning and data mining
  38. Data mining: practical machine learning tools and techniques with Java implementations
  39. State of the art of graph-based data mining
  40. Data mining techniques and applications–A decade review from 2000 to 2011
  41. Data mining methods for knowledge discovery
  42. E cient and E ective clustering methods for spatial data mining
  43. Data mining: past, present and future
  44. Data mining and statistics for decision making
  45. Encyclopedia of machine learning and data mining
  46. The top ten algorithms in data mining
  47. Data Mining: Concepts, models and techniques
  48. Introduction to data mining in bioinformatics
  49. Data mining algorithms to classify students
  50. Data mining curriculum: A proposal (version 1.0)
  51. GeoMiner: a system prototype for spatial data mining
  52. Data mining in marketing: Part 1
  53. SLIQ: A fast scalable classifier for data mining
  54. Data mining with decision trees: theory and applications
  55. Machine learning and data mining
  56. Predictive data mining in clinical medicine: current issues and guidelines
  57. A survey of temporal data mining
  58. Data mining in healthcare and biomedicine: a survey of the literature
  59. Data mining techniques
  60. Data mining for web intelligence
  61. Relational data mining
  62. Knowledge Discovery and Data Mining: Towards a Unifying Framework.
  63. Data mining: concepts, models, methods, and algorithms
  64. Data mining for the social sciences: An introduction
  65. Data mining application on students’ data
  66. Data mining for design and manufacturing: methods and applications
  67. Using neural networks for data mining
  68. Data mining for fun and profit
  69. Data mining approaches for intrusion detection
  70. Knowledge management and data mining for marketing
  71. Data mining in the e‐learning domain
  72. Applied data mining for business and industry
  73. Data mining methods, applications, and tools
  75. A data mining approach to strategy prediction
  76. Business applications of data mining
  77. Selected techniques for data mining in medicine
  78. Sports data mining
  79. Uniqueness of medical data mining
  80. Data mining with an ant colony optimization algorithm
  81. Data mining of user navigation patterns
  82. Educational data mining: A survey from 1995 to 2005
  83. A survey of clustering data mining techniques
  84. Temporal data mining
  85. Data mining in telecommunications
  86. Data mining cluster analysis: basic concepts and algorithms
  87. Trajectory data mining: an overview
  88. Exploring data mining implementation
  89. Orange: data mining toolbox in Python
  90. Mining big data: current status, and forecast to the future
  91. Data mining in manufacturing: a review based on the kind of knowledge
  92. Web data mining: exploring hyperlinks, contents, and usage data
  93. Effective data mining using neural networks
  94. Applying data mining techniques to e-learning problems
  95. Data mining and machine learning in astronomy
  96. Data mining and knowledge discovery: Making sense out of data
  97. A review on time series data mining
  98. Data mining techniques: for marketing, sales, and customer relationship management
  99. Data mining applications in higher education
  100. Introduction to knowledge discovery and data mining
  101. Data mining techniques for customer relationship management
  102. Knowledge Discovery and Data Mining: Challenges and Realities: Challenges and Realities
  103. Statistical inference and data mining
  104. Data mining: theory and practice [with CD]
  105. Data mining: an industrial research perspective
  106. Data mining for customer service support
  107. Data mining in course management systems: Moodle case study and tutorial
  108. Survey of classification techniques in data mining
  109. Data mining: machine learning, statistics, and databases
  110. Business data mining—a machine learning perspective
  111. Bayesian networks for data mining
  112. Information visualization and visual data mining
  113. Agent mining: The synergy of agents and data mining
  114. Lecture notes in data mining
  115. Security and privacy implications of data mining
  116. CLARANS: A method for clustering objects for spatial data mining
  117. A survey on Data Mining approaches for Healthcare
  118. Data mining for internet of things: A survey
  119. Application of data mining in bioinformatics
  120. Visual data mining: Techniques and tools for data visualization and mining
  121. A study on classification techniques in data mining
  122. Data mining for the enterprise
  123. Visual data mining
  124. Privacy-preserving data mining
  125. Data mining standards initiatives
  126. Educational data mining: A survey and a data mining-based analysis of recent works
  127. Collective data mining: A new perspective toward distributed data mining
  128. Business modeling and data mining
  129. Time-series data mining
  130. Matrix methods in data mining and pattern recognition
  131. Application of data mining techniques to healthcare data
  132. Data mining for the internet of things: literature review and challenges
  133. Data mining: The search for knowledge in databases
  134. Trends in data mining and knowledge discovery
  135. Exploratory data mining and data cleaning
  136. A data mining application in a student database
  137. Mining students data to analyze e-Learning behavior: A Case Study
  138. Information visualization in data mining and knowledge discovery
  139. Sequence data mining
  140. Data mining and predictive analytics
  141. Defining privacy for data mining
  142. Data mining tools
  143. Importance of data mining in higher education system
  144. Target discovery from data mining approaches
  145. DNA visual and analytic data mining
  146. Empirical study on applications of data mining techniques in healthcare
  147. Data mining methods for detection of new malicious executables
  148. A conceptual overview of data mining
  149. Towards parameter-free data mining
  150. Quality measures in data mining
  151. Static Versus Dynamic Sampling for Data Mining.
  152. Data mining application in higher learning institutions
  153. Research issues in web data mining
  154. Practical applications of data mining
  155. Data mining and knowledge discovery with evolutionary algorithms
  156. Feature selection for knowledge discovery and data mining
  157. Data mining and the impact of missing data
  158. Data mining with Microsoft SQL server 2008
  159. Data preparation for data mining using SAS
  160. Data mining for hypertext: A tutorial survey
  161. Feature extraction, construction and selection: A data mining perspective
  162. Data mining for direct marketing: Problems and solutions.
  163. Research on data mining models for the internet of things
  164. A perspective on data mining
  165. Application of data mining techniques in customer relationship management: A literature review and classification
  166. Clinical data mining: a review
  167. Reality check for data mining
  168. MineSet: An Integrated System for Data Mining.
  169. Statistics: methods and applications: a comprehensive reference for science, industry, and data mining
  170. Educational data mining: a review of the state of the art
  171. Game data mining
  172. Spatio-temporal data mining: A survey of problems and methods
  173. Model uncertainty, data mining and statistical inference
  174. Data mining for the masses
  175. Swarm intelligence in data mining
  176. Data mining techniques: a survey paper
  177. Spatial data mining
  178. Spatial data mining: A database approach
  179. Music data mining
  180. A survey on wavelet applications in data mining
  181. Data mining of cellular automata’s transition rules
  182. Technology overview: A report on data mining
  183. Web data mining research: a survey
  184. Data mining: technologies, techniques, tools, and trends
  185. Techniques of cluster algorithms in data mining
  186. The SPMF open-source data mining library version 2
  187. Data Mining, Surveillance, and Discrimination in the Post-9/11 Environment
  188. Feature transformation methods in data mining
  189. Statistical data mining using SAS applications
  190. Applications of data mining in higher education
  191. Trends in spatial data mining
  192. Data mining for web personalization
  193. Privacy preserving data mining
  194. OntoDM: An ontology of data mining
  195. Metaqueries for data mining
  196. Evolving data into mining solutions for insights
  197. Integrating e-commerce and data mining: Architecture and challenges
  198. Data Mining‐a powerful information creating tool
  199. From big data to big data mining: challenges, issues, and opportunities
  200. Governmental data mining and its alternatives
  201. Data mining on multimedia data
  202. Data mining for dummies
  203. A descriptive framework for the field of data mining and knowledge discovery
  204. Data mining for imbalanced datasets: An overview
  205. Data mining in bioinformatics using Weka
  206. Intelligent data mining: techniques and applications
  207. Cluster analysis and data mining: An introduction
  208. Using data mining methods to build customer profiles
  209. Real time data mining
  210. Mining of massive datasets
  211. Crime data mining: a general framework and some examples
  212. Cultural studies of data mining: Introduction
  213. Data mining in social media
  214. Principles and theory for data mining and machine learning
  215. Data mining for software engineering
  216. IntOGen: integration and data mining of multidimensional oncogenomic data
  217. Data mining: multimedia, soft computing, and bioinformatics
  218. Data mining our way to the next generation of thermoelectrics
  219. Editorial survey: swarm intelligence for data mining
  220. Applications of data mining to electronic commerce
  221. Data mining and the web: Past, present and future
  222. Data mining: A preprocessing engine
  223. Spatial data mining: progress and challenges survey paper
  224. A study on video data mining
  225. Mining multimedia data.
  226. Large-scale parallel data mining
  227. The elements of statistical learning: data mining, inference, and prediction
  228. Advancing knowledge discovery and data mining
  229. The WEKA data mining software: an update
  230. OLAP mining: An integration of OLAP with data mining
  231. Data mining and its applications for knowledge management: a literature review from 2007 to 2012
  232. Emerging standards for data mining
  233. Tools for privacy preserving distributed data mining
  234. Applications of data mining in retail business
  235. Data mining for discrimination discovery
  236. Applying data mining to manufacturing: the nature and implications
  237. Mining e-commerce data: The good, the bad, and the ugly
  238. Data mining applications in healthcare sector: a study
  239. On measuring and correcting the effects of data mining and model selection
  240. Role of data mining in education sector
  241. Data mining: manufacturing and service applications
  242. The survey of data mining applications and feature scope
  243. A survey of evolutionary algorithms for data mining and knowledge discovery
  244. Mining graph data
  245. A bibliography of temporal, spatial and spatio-temporal data mining research
  246. ADAM: Detecting intrusions by data mining
  247. Cluster analysis for data mining and system identification
  248. Eliminating noisy information in web pages for data mining
  249. A survey of data mining and knowledge discovery software tools
  250. Academic analytics and data mining in higher education
  251. Managing and mining sensor data
  252. Data mining concepts and techniques third edition
  253. Data mining with SQL Server 2005
  254. A survey of data mining techniques applied to agriculture
  255. Optimization based data mining: theory and applications
  256. Efficient data mining for path traversal patterns
  257. Mining knowledge in geographical data
  258. Yale: Rapid prototyping for complex data mining tasks
  259. Ethical issues in web data mining
  260. Data mining with big data
  261. A web crawler design for data mining
  262. FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
  263. Mathematical programming for data mining: Formulations and challenges
  264. Effective educational process: a data‐mining approach
  265. An empirical study of the applications of data mining techniques in higher education
  266. Privacy preserving data mining.
  267. Data mining for very busy people
  268. The state of educational data mining in 2009: A review and future visions
  269. Social area analysis, data mining, and GIS
  270. State-of-the-art in privacy preserving data mining
  271. Developing innovative applications in agriculture using data mining
  272. Pattern recognition algorithms for data mining
  273. Using data mining to predict secondary school student performance
  274. Data Mining Using a Machine Learning Library in C++
  275. A data mining methodology for cross-sales
  276. On the design and quantification of privacy preserving data mining algorithms
  277. On the need for time series data mining benchmarks: a survey and empirical demonstration
  278. Interestingness measures for data mining: A survey
  279. Applications of data mining in computer security
  280. Data mining for improvement of product quality
  281. Data mining: theories, algorithms, and examples
  282. A data mining framework for building intrusion detection models
  283. Spatial data mining and geographic knowledge discovery—An introduction
  284. A basic primer on data mining
  285. An information theoretic framework for data mining
  286. Survey on anomaly detection using data mining techniques
  287. 50 years of data mining and OR: upcoming trends and challenges
  288. High-throughput functional annotation and data mining with the Blast2GO suite
  289. Data mining in finance: advances in relational and hybrid methods
  290. Towards a general framework for data mining
  291. Towards on-line analytical mining in large databases
  292. Geographic data mining and knowledge discovery: An overview
  293. A comparison of several approaches to missing attribute values in data mining
  294. Mining student data using decision trees
  295. Statistics and data mining: intersecting disciplines
  296. Information security in big data: privacy and data mining
  297. Journey from data mining to Web Mining to Big Data
  298. Fuzzy computing for data mining
  299. Bottom-up generalization: A data mining solution to privacy protection
  300. The data mining optimization ontology
  301. SPRINT: A scalable parallel classifier for data mining
  302. Automatic subspace clustering of high dimensional data for data mining applications
  303. From visual data exploration to visual data mining: A survey
  304. Online data mining for co-evolving time sequences
  305. CRISP-DM: Towards a standard process model for data mining
  306. Textual data mining to support science and technology management
  307. Data mining for business intelligence: Concepts, techniques, and applications in Microsoft Office Excel with XLMiner
  308. Prediction and decision making in health care using data mining
  309. Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research
  310. Advances in K-means clustering: a data mining thinking
  311. Data mining and analytics in the process industry: The role of machine learning
  312. The data-mining industry coming of age
  313. A survey and future vision of data mining in educational field
  314. Predictive data mining in clinical medicine: a focus on selected methods and applications
  315. Mining of massive data sets
  316. Lessons and challenges from mining retail e-commerce data
  317. Analysis of agriculture data using data mining techniques: application of big data
  318. The UCI KDD archive of large data sets for data mining research and experimentation
  319. Modeling wine preferences by data mining from physicochemical properties
  320. Data mining and surveillance in the post 9/11 environment
  321. The impact of data mining techniques on medical diagnostics
  322. Feature selection: An ever evolving frontier in data mining
  323. Weka-a machine learning workbench for data mining
  324. Data mining in design of products and production systems
  325. The contribution of data mining to information science
  326. How can data mining help bio-data analysis?
  327. Data Science for Business: What you need to know about data mining and data-analytic thinking
  328. Compression-based data mining of sequential data
  329. Data mining with decision trees and decision rules
  330. Constraint-based, multidimensional data mining
  331. Three myths about dynamic time warping data mining
  332. A review of evolutionary algorithms for data mining
  333. Research of data mining based on neural networks
  334. Real time data mining-based intrusion detection
  335. Analysis of cancer data: a data mining approach
  336. Data mining a diabetic data warehouse
  337. On exploiting the power of time in data mining
  338. Warmr: a data mining tool for chemical data
  339. Data mining and machine learning in cybersecurity
  340. An introduction to support vector machines for data mining
  341. Adaptive intrusion detection: A data mining approach
  342. Data mining for path traversal patterns in a web environment
  343. Investigative data mining for security and criminal detection
  344. Data mining for improved cardiac care
  345. SPC: A distributed, scalable platform for data mining
  346. Data mining for network intrusion detection
  347. Clinical data-mining: Integrating practice and research
  348. Data mining and linked open data–New perspectives for data analysis in environmental research
  349. Distributed data mining: Algorithms, systems, and applications
  350. Data mining corrections
  351. Data mining and knowledge discovery in databases: implications for scientific databases
  352. Neurorule: A connectionist approach to data mining
  353. Particle swarm based data mining algorithms for classification tasks
  354. Get another label? improving data quality and data mining using multiple, noisy labelers
  355. Decision tree analysis on j48 algorithm for data mining
  356. Trends in information fusion in data mining
  357. Exploratory spatio-temporal data mining and visualization
  358. Data mining in biomedicine
  359. Fuzzy modeling and genetic algorithms for data mining and exploration
  360. Data Mining: A prediction of performer or underperformer using classification
  361. Orange: From experimental machine learning to interactive data mining
  362. Review of data preprocessing techniques in data mining
  363. The role of domain knowledge in data mining
  364. Data mining for hotel firms: Use and limitations
  365. Statistics, data mining, and machine learning in astronomy: a practical Python guide for the analysis of survey data
  366. Data mining algorithms: explained using R
  367. Evaluation of sampling for data mining of association rules
  368. Efficient parallel data mining for association rules
  369. Mathematical programming in data mining
  370. Data mining for credit card fraud: A comparative study
  371. Data mining in educational technology classroom research: Can it make a contribution?
  372. Data mining for climate change and impacts
  373. Data mining with differential privacy
  374. Classification algorithm in data mining: An overview
  375. Mining time-changing data streams
  376. Data mining approach to detect heart diseases
  377. Application of data mining techniques in pharmacovigilance
  378. Class imbalance problem in data mining review
  379. Targeting the right students using data mining
  380. Data mining in social networks
  381. Crime data mining: an overview and case studies
  382. Machine learning and data mining methods in diabetes research
  383. Template detection via data mining and its applications
  384. Business intelligence: data mining and optimization for decision making
  385. Classification algorithms for data mining: A survey
  386. Constraint-based data mining
  387. When do data mining results violate privacy?
  388. A data mining approach for signal detection and analysis
  389. Ensemble methods in data mining: improving accuracy through combining predictions
  390. Contemporary issues in exploratory data mining in the behavioral sciences
  391. A statistical perspective on data mining
  392. A data mining analysis of RTID alarms
  393. Privacy-preserving data mining: models and algorithms
  394. Data mining in healthcare: Current applications and issues
  395. Multi-relational data mining: an introduction
  396. STING: A statistical information grid approach to spatial data mining
  397. Educational Data Mining: a Case Study.
  398. Data Mining and Knowledge Management in Higher Education-Potential Applications.
  399. Educational data mining: A review
  400. Techniques of data mining in healthcare: a review
  401. Predicting breast cancer survivability: a comparison of three data mining methods
  402. The role of data mining in pharmacovigilance
  403. From patterns in data to knowledge discovery: What data mining can do
  404. Matminer: An open source toolkit for materials data mining
  405. Overview of data mining for customer behavior modeling
  406. DMQL: A data mining query language for relational databases
  407. ONCOMINE: a cancer microarray database and integrated data-mining platform
  408. An introduction to the WEKA data mining system
  409. Treefinder: a first step towards xml data mining
  410. Application of data mining techniques for medical image classification
  411. Fake news detection on social media: A data mining perspective
  412. State-of-the-art overview on data mining in power systems
  413. An Overview Of Temporal Data Mining.
  414. Data mining approaches to criminal career analysis
  415. Rough sets and data mining: Analysis of imprecise data
  416. A comparative study of classification techniques in data mining algorithms
  417. Fuzzy data mining and genetic algorithms applied to intrusion detection
  418. Advanced scout: Data mining and knowledge discovery in NBA data
  419. Data mining and data analysis for counterterrorism
  420. Extracting landmarks with data mining methods
  421. Data mining and database systems: Where is the intersection?
  422. Influence Propagation in Social Networks: A Data Mining Perspective.
  423. Mining association rules from quantitative data
  424. Privacy preserving data mining
  425. Applying data mining to telecom churn management
  426. A data mining approach to the prediction of corporate failure
  427. Algorithms and applications for spatial data mining
  428. Mining educational data to analyze students’ performance
  429. An attacker’s view of distance preserving maps for privacy preserving data mining
  430. Introduction to data mining for the life sciences
  431. Distributed data mining: a survey
  432. Data mining in cloud computing
  433. A systematic review on educational data mining
  434. Benchmarking attribute selection techniques for discrete class data mining
  435. Scientific data mining: a practical perspective
  436. Discovering golden nuggets: data mining in financial application
  437. Parallel data mining on graphics processors
  438. Spatiotemporal data mining: A computational perspective
  439. Data mining models for student careers
  440. Data mining with Rattle and R: The art of excavating data for knowledge discovery
  441. Data mining techniques in social media: A survey
  442. Discrimination-aware data mining
  443. Text data mining: theory and methods
  444. Mining scientific data
  445. AINE: An immunological approach to data mining
  446. Data mining: Trends in research and development
  447. Data mining the Web: uncovering patterns in Web content, structure, and usage
  448. Data mining issues and opportunities for building nursing knowledge
  449. A review of data mining applications in crime
  450. Theoretical frameworks for data mining
  451. A data mining & knowledge discovery process model
  452. Data mining and clinical data repositories: Insights from a 667,000 patient data set
  453. Evaluating feature selection methods for learning in data mining applications
  454. Fuzzy methods in machine learning and data mining: Status and prospects
  455. Data Mining: A prediction for performance improvement using classification
  456. A data mining approach for database intrusion detection
  457. Deep learning for spatio-temporal data mining: A survey
  458. Data mining emotion in social network communication: Gender differences in MySpace
  459. Comparing data mining methods on the VAERS database
  460. A data mining approach to predict forest fires using meteorological data
  461. Microarray data mining: facing the challenges
  462. Perspectives on the use of data mining in pharmacovigilance
  463. Autonomous decision-making: A data mining approach
  464. Data mining-driven manufacturing process optimization
  465. Scalable parallel data mining for association rules
  466. Text mining: The state of the art and the challenges
  467. Intelligent heart disease prediction system using data mining techniques
  468. Data mining techniques and its applications in banking sector
  469. Algoritma data mining
  470. A review of data mining applications for quality improvement in manufacturing industry
  471. A comprehensive survey of data mining-based fraud detection research
  472. A survey on decision tree algorithms of classification in data mining
  473. A comparative study of RNN for outlier detection in data mining
  474. Crime pattern detection using data mining
  475. Biological data mining
  476. Distributed data mining in credit card fraud detection
  477. Datenvisualisierung und data mining
  478. A condensation approach to privacy preserving data mining
  479. Data mining of association structures to model consumer behaviour
  480. A fast clustering algorithm to cluster very large categorical data sets in data mining.
  481. Webzeitgeist: design mining the web
  482. Using data mining techniques for diagnosis and prognosis of cancer disease
  483. Information-theoretic measures for knowledge discovery and data mining
  484. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
  485. Customer retention via data mining
  486. Challenges and opportunities in mining neuroscience data
  487. Data mining methods for recommender systems
  488. Predicting crystal structure by merging data mining with quantum mechanics
  489. Data Quality Mining-Making a Virute of Necessity.
  490. GeoDMA—Geographic data mining analyst
  491. Identification of significant features and data mining techniques in predicting heart disease
  492. Survey on clustering techniques in data mining
  493. Improving on ‘Data mining reconsidered’by KD Hoover and SJ Perez
  494. Orange4WS environment for service-oriented data mining
  495. A survey of knowledge discovery and data mining process models
  496. Using genetic algorithms for data mining optimization in an educational web-based system
  497. Research on CBR system based on data mining
  498. GeneMerge—post-genomic analysis, data mining, and hypothesis testing
  499. Neural network tool for data mining: SOM toolbox
  500. A methodology for direct and indirect discrimination prevention in data mining
  501. Multimedia data mining: state of the art and challenges
  502. A survey of multiobjective evolutionary algorithms for data mining: Part I
  503. Combining complex networks and data mining: why and how
  504. KEEL: a software tool to assess evolutionary algorithms for data mining problems
  505. Data mining of agricultural yield data: A comparison of regression models
  506. Advances in machine learning and data mining for astronomy
  507. A review on predicting student’s performance using data mining techniques
  508. Short-term prediction of wind farm power: A data mining approach
  509. Survey of data mining techniques used in healthcare domain
  510. Data mining: data analysis on a grand scale?
  511. Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases.
  512. Data preparation for mining world wide web browsing patterns
  513. Data mining in time series databases
  514. Data mining for network intrusion detection: How to get started
  515. Implementation of data mining techniques for meteorological data analysis
  516. Student data mining solution–knowledge management system related to higher education institutions
  517. A data mining based NTL analysis method
  518. A Data mining view on class room teaching language
  519. Using data mining techniques in heart disease diagnosis and treatment
  520. Data mining tasks and methods: Classification: decision-tree discovery
  521. Data mining of inputs: analysing magnitude and functional measures
  522. Rattle: a data mining GUI for R
  523. Role mining-revealing business roles for security administration using data mining technology
  524. Next generation of data mining
  525. k-Anonymous Data Mining: A Survey
  526. Mining with noise knowledge: error-aware data mining
  527. Educational data mining and learning analytics
  528. Semantic data mining: A survey of ontology-based approaches
  529. Big data, data mining, and machine learning: value creation for business leaders and practitioners
  530. Data mining for measuring and improving the success of web sites
  531. From local patterns to global models: the LeGo approach to data mining
  532. Issues, challenges, and solutions: big data mining
  533. Distributed data mining for e-business
  534. The cost of privacy: destruction of data-mining utility in anonymized data publishing
  535. Optimising product configurations with a data-mining approach
  536. The GeneCards suite: from gene data mining to disease genome sequence analyses
  537. Review on mining data from multiple data sources
  538. Data mining: How research meets practical development?
  539. Credit scoring with a data mining approach based on support vector machines
  540. Data mining system and applications: A review
  541. Fundamentals of data mining in genomics and proteomics
  542. Application of data mining: Diabetes health care in young and old patients
  543. Mining students’ data for prediction performance
  544. Maintaining data privacy in association rule mining
  545. Fuzzy data mining for interesting generalized association rules
  546. Biometric system and data analysis: Design, evaluation, and data mining
  547. Semantic Web in data mining and knowledge discovery: A comprehensive survey
  548. Mining very large databases
  549. Java data mining: Strategy, standard, and practice: a practical guide for architecture, design, and implementation
  550. Understanding complex datasets: data mining with matrix decompositions
  551. Mining multi-label data
  552. Intrusion detection using data mining techniques
  553. A practical guide to data mining for business and industry
  554. Recommendation in higher education using data mining techniques
  555. A history mechanism for visual data mining
  556. An intelligent system for customer targeting: a data mining approach
  557. Uncertain data mining: An example in clustering location data
  558. Time granularities in databases, data mining, and temporal reasoning
  559. Analyzing undergraduate students’ performance using educational data mining
  560. Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining
  561. Characterising data mining software
  562. Data mining approach for predicting student performance
  563. On mining scientific datasets
  564. Data mining reconsidered: encompassing and the general‐to‐specific approach to specification search
  565. Improving Markov chain Monte Carlo model search for data mining
  566. Data mining using high performance data clouds: experimental studies using sector and sphere
  567. Understanding users’ behavior with software operation data mining
  568. Meaning and mining: the impact of implicit assumptions in data mining for the humanities
  569. Data mining and business analytics with R
  570. Medical data mining by fuzzy modeling with selected features
  571. Medical data mining: knowledge discovery in a clinical data warehouse.
  572. A survey on trajectory data mining: Techniques and applications
  573. A general survey of privacy-preserving data mining models and algorithms
  574. Data mining–past, present and future–a typical survey on data streams
  575. Toward data mining engineering: A software engineering approach
  576. Predicting academic performance by data mining methods
  577. Evolutionary computation in data mining
  578. Data mining for hierarchical model creation
  579. Data matching, data mining, and due process
  580. Informational privacy, data mining, and the internet
  581. Data mining in healthcare for heart diseases
  582. Minebench: A benchmark suite for data mining workloads
  583. Behavioural data mining of transit smart card data: A data fusion approach
  584. Making sense of data II: A practical guide to data visualization, advanced data mining methods, and applications
  585. Leakage in data mining: Formulation, detection, and avoidance
  586. Instance selection and construction for data mining
  587. [PS][PS] Enhancements to the data mining process
  588. Predicting school failure using data mining
  589. An overview of free software tools for general data mining
  590. Data mining applications in accounting: A review of the literature and organizing framework
  591. Mining text data: special features and patterns
  592. Survey of data mining
  593. Data‐mining discovery of pattern and process in ecological systems
  594. Application of a data-mining technique to analyze coprescription patterns for antacids in Taiwan
  595. The limits of privacy in automated profiling and data mining
  596. Secure multiparty computation for privacy preserving data mining
  597. A survey of open source data mining systems
  598. Data mining: Theory, methodology, techniques, and applications
  599. Classification and feature selection techniques in data mining
  600. Customer data clustering using data mining technique
  601. A data mining approach to developing the profiles of hotel customers
  602. Data mining in educational system using weka
  603. A survey of data mining and knowledge discovery process models and methodologies
  604. Data mining in brain imaging
  605. Data mining for materials: Computational experiments with compounds
  606. Unsupervised generation of data mining features from linked open data
  607. Data analysis and data mining: current issues in biomedical informatics
  608. Machine learning and data mining for computer security: methods and applications
  609. Proteomics data mining
  610. Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework.
  611. A review of data mining using big data in health informatics
  612. A critical review of multi-objective optimization in data mining: a position paper
  613. A survey of data mining and machine learning methods for cyber security intrusion detection
  614. Scaling big data mining infrastructure: the twitter experience
  615. Data mining and knowledge discovery technologies
  616. The WM method completed: a flexible fuzzy system approach to data mining
  617. Comparative analysis of data mining methods for bankruptcy prediction
  618. Tools for educational data mining: A review
  619. Contrast data mining: concepts, algorithms, and applications
  620. Predicting crystal structures with data mining of quantum calculations
  621. Providing k-anonymity in data mining
  622. A comparative study for outlier detection techniques in data mining
  623. Survey on mining subjective data on the web
  624. Data mining and personalization technologies
  625. Dangers of data mining: The case of calendar effects in stock returns
  626. Assessing data mining results via swap randomization
  627. A methodology for dynamic data mining based on fuzzy clustering
  628. Data mining techniques in CRM: inside customer segmentation
  629. Combining data mining and machine learning for effective user profiling.
  630. Mobility, data mining and privacy: Geographic knowledge discovery
  631. High-throughput and data mining with ab initio methods
  632. An updated bibliography of temporal, spatial, and spatio-temporal data mining research
  633. Data mining and Internet profiling: Emerging regulatory and technological approaches
  634. A data mining approach to characterize road accident locations
  635. STING+: An approach to active spatial data mining
  636. Financial stock market forecast using data mining techniques
  637. Study of Spanish mining accidents using data mining techniques
  638. Data mining for security applications
  639. Admit: anomaly-based data mining for intrusions
  640. Microarray data mining with visual programming
  641. Feature selection in data mining
  642. Analysis the effect of data mining techniques on database
  643. Summary from the KDD-03 panel: data mining: the next 10 years
  644. Survey of Clustering Algorithms in Data Mining [J]
  645. Discovering web access patterns and trends by applying OLAP and data mining technology on web logs
  646. On the use of optimization for data mining: Theoretical interactions and eCRM opportunities
  647. Data Mining: Going beyond Traditional Statistics.
  648. A data-mining approach to monitoring wind turbines
  649. Predicting student performance: an application of data mining methods with an educational web-based system
  650. Educational data mining
  651. Random-data perturbation techniques and privacy-preserving data mining
  652. Data organization and access for efficient data mining
  653. Agent intelligence through data mining
  654. A hybrid decision tree/genetic algorithm method for data mining
  655. Web usage mining: Discovery and applications of usage patterns from web data
  656. Predicting student performance by using data mining methods for classification
  657. Three attitudes towards data mining
  658. Learning analytics and educational data mining: towards communication and collaboration
  659. Fuzzy support vector machines for pattern recognition and data mining
  660. Integrating probabilistic extraction models and data mining to discover relations and patterns in text
  661. An overview of issues in developing industrial data mining and knowledge discovery applications.
  662. Revisiting the foundations of artificial immune systems for data mining
  663. Data mining with neural networks and support vector machines using the R/rminer tool
  664. Predicting breast cancer survivability using data mining techniques
  665. A framework for evaluating privacy preserving data mining algorithms
  666. A comparison study between data mining tools over some classification methods
  667. Application of data mining in educational database for predicting behavioural patterns of the students
  668. Combining text mining and data mining for bug report classification
  669. Understanding the crucial role of attribute interaction in data mining
  670. Data mining-based intrusion detectors
  671. Case study: how to apply data mining techniques in a healthcare data warehouse
  672. ADaM: a data mining toolkit for scientists and engineers
  673. Applications of data mining techniques in healthcare and prediction of heart attacks
  674. Statistical and Machine-Learning Data Mining:: Techniques for Better Predictive Modeling and Analysis of Big Data
  675. Data mining techniques for better decisions in human resource management systems
  676. A novel evolutionary data mining algorithm with applications to churn prediction
  677. WEBSOM for textual data mining
  678. Data mining for aerodynamic design space
  679. Big data for education: Data mining, data analytics, and web dashboards
  680. Distributed data mining and agents
  681. Toward knowledge-rich data mining
  682. Data Mining: A Heuristic Approach: A Heuristic Approach
  683. Application of data mining techniques in weather prediction and climate change studies
  684. Data mining applications: A comparative study for predicting student’s performance
  685. Advances in data stream mining
  686. Data mining for business applications
  687. Data mining techniques to find out heart diseases: an overview
  688. A systematic review on healthcare analytics: application and theoretical perspective of data mining
  689. A CHAID based performance prediction model in educational data mining
  690. Data mining for yield enhancement in semiconductor manufacturing and an empirical study
  691. A state-of-the-art survey of malware detection approaches using data mining techniques
  692. Data mining techniques applied to medical information
  693. CORNET: a user-friendly tool for data mining and integration
  694. Scalable tensor decompositions for multi-aspect data mining
  695. A perspective analysis of traffic accident using data mining techniques
  696. Decision support system of scholarship grantee selection using data mining
  697. Data mining: From serendipity to science
  698. Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data
  699. Trajectory data mining: A review of methods and applications
  700. Data mining in education: data classification and decision tree approach
  701. Data mining using two-dimensional optimized association rules: Scheme, algorithms, and visualization
  702. Data mining from 1994 to 2004: an application-orientated review
  703. Computational historiography: Data mining in a century of classics journals
  704. Differentiating between data-mining and text-mining terminology
  705. Biclustering in data mining
  706. Comparative study of data mining classification methods in cardiovascular disease prediction 1
  707. A survey on privacy preserving data mining
  708. A comparison of linear genetic programming and neural networks in medical data mining
  709. Soft computing for data mining applications
  710. Automating the design of data mining algorithms: an evolutionary computation approach
  711. Using data mining to estimate missing sensor data
  712. Data mining using SAS enterprise miner
  713. The non-negative matrix factorization toolbox for biological data mining
  714. Neural data mining for credit card fraud detection
  716. Cancer gene search with data-mining and genetic algorithms
  717. Data mining in elite sports: a review and a framework
  718. ANF: A fast and scalable tool for data mining in massive graphs
  719. Mining high-speed data streams
  720. Combination data mining methods with new medical data to predicting outcome of coronary heart disease
  721. Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
  722. Application of data mining in educational databases for predicting academic trends and patterns
  723. Practical text mining and statistical analysis for non-structured text data applications
  724. Data mining for intrusion detection
  725. Data mining to predict aircraft component replacement
  726. Minerals: using data mining to detect router misconfigurations
  727. Fuzzy data mining for time-series data
  728. Integrating data mining with SQL databases: OLE DB for data mining
  729. Predictive analytics and data mining: concepts and practice with rapidminer
  730. Applying data mining in investigating money laundering crimes
  731. Multimediaminer: a system prototype for multimedia data mining
  732. Domain driven data mining
  733. Survey of multiobjective evolutionary algorithms for data mining: Part II
  734. Local and global methods in data mining: Basic techniques and open problems
  735. Fast algorithms for mining association rules
  736. Association rule mining: A survey
  737. Synergies of operations research and data mining
  738. Analysis of eight data mining algorithms for smarter Internet of Things (IoT)
  739. Data mining and business intelligence: A guide to productivity
  740. Water reservoir control with data mining
  741. Incremental generalization for mining in a data warehousing environment
  742. Application of data mining techniques in stock markets: A survey
  743. Data mining in genomics
  744. Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
  745. Pengantar data mining: mengagali pengetahuan dari bongkahan data
  746. A brief survey of data mining techniques applied to agricultural data
  747. Rdf2vec: Rdf graph embeddings for data mining
  748. Data mining of tree-based models to analyze freeway accident frequency
  749. Scalable, Distributed Data Mining-An Agent Architecture.
  750. Data mining, rough sets and granular computing
  751. Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
  752. An analytic approach to select data mining for business decision
  753. Privacy preserving association rule mining in vertically partitioned data
  754. Data mining using grammar based genetic programming and applications
  755. Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges
  756. Statistical data mining and knowledge discovery
  757. Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty
  758. The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing
  759. Data mining method for listed companies’ financial distress prediction
  760. Data mining with temporal abstractions: learning rules from time series
  761. Geographic data mining and knowledge discovery
  762. Measuring the impact of data mining on churn management
  763. Data mining: A competitive weapon for banking and retail industries
  764. Using data mining for customer satisfaction research
  765. A survey of data mining and deep learning in bioinformatics
  766. All that glitters is not gold: Digging beneath the surface of data mining
  767. The curse of dimensionality in data mining and time series prediction
  768. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
  769. Visualization support for data mining
  770. Spatio-temporal data mining for climate data: Advances, challenges, and opportunities
  771. Knowledge management, data mining, and text mining in medical informatics
  772. Data mining-techniques, methods and algorithms: A review on tools and their validity
  773. Data mining and genetic algorithm based gene/SNP selection
  774. Data mining of social networks represented as graphs
  775. A data mining approach for diagnosis of coronary artery disease
  776. Developing a hybrid intrusion detection system using data mining for power systems
  777. Data mining in building automation system for improving building operational performance
  778. Data mining and wind power prediction: A literature review
  779. Data mining: um guia prático
  780. Association of genes to genetically inherited diseases using data mining
  781. Application of enhanced analysis model for data mining processes in higher educational system
  782. A survey on clustering techniques for big data mining
  783. A survey of data mining techniques for social media analysis
  784. Emerging scientific applications in data mining
  785. Disease prediction in data mining technique–a survey
  786. A review of the application of machine learning and data mining approaches in continuum materials mechanics
  787. An overview of data mining techniques
  788. Usefulness and applications of data mining in extracting information from different perspectives
  789. Data mining and knowledge discovery for process monitoring and control
  790. Educational Data Mining: A review of evaluation process in the e-learning
  791. Data mining approach to policy analysis in a health insurance domain
  792. Application of data mining tools to hotel data mart on the Intranet for database marketing
  793. Privacy issues in knowledge discovery and data mining
  794. Video data mining using configurations of viewpoint invariant regions
  795. Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression
  796. Detecting and investigating crime by means of data mining: a general crime matching framework
  797. Application of data mining techniques to identify relevant key performance indicators
  798. Data mining: A prediction for performance improvement of engineering students using classification
  799. ACODF: a novel data clustering approach for data mining in large databases
  800. Assessment of hierarchical clustering methodologies for proteomic data mining
  801. Applications of data mining techniques in pharmaceutical industry.
  802. An analysis of heart disease prediction using different data mining techniques
  803. Using sensitivity analysis and visualization techniques to open black box data mining models
  804. Data mining-practical machine learning tools and techniques with Java implementations
  805. Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining
  806. Prediction and diagnosis of heart disease by data mining techniques
  807. Educational data mining & students’ performance prediction
  808. A comparative study of various clustering algorithms in data mining
  809. The bibliomining process: Data warehousing and data mining for library decision-making
  810. RapidMiner: Data mining use cases and business analytics applications
  811. 3DM: domain-oriented data-driven data mining
  812. Challenges for data mining in distributed sensor networks
  813. Privacy preserving data mining techniques: current scenario and future prospects
  814. Improved study of heart disease prediction system using data mining classification techniques
  815. Link mining: a survey
  816. Parallel and distributed data mining: An introduction
  817. Challenges in mining social network data: processes, privacy, and paradoxes
  818. Mining database structure; or, how to build a data quality browser
  819. Brief survey of crowdsourcing for data mining
  820. Predictive data mining: practical examples
  821. Strategies for parallel data mining
  822. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
  823. Data-mining technologies for diabetes: a systematic review
  824. Using data mining techniques to characterize participation in observational studies
  825. Automatic categorization of medical images for content-based retrieval and data mining
  826. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients
  827. Prediction of benign and malignant breast cancer using data mining techniques
  828. Text knowledge mining: an alternative to text data mining
  829. Use of data mining techniques to determine and predict length of stay of cardiac patients
  830. A systematic review of data mining and machine learning for air pollution epidemiology
  831. Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey
  832. Approximate boolean reasoning: Foundations and applications in data mining
  833. Data-mining-based methodology for the design of product families
  834. Data mining and domestic security: Connecting the dots to make sense of data
  835. The elements of statistical learning: data mining, inference, and prediction
  836. Data mining for exploring hidden patterns between KM and its performance
  837. Molecular feature mining in HIV data
  838. Data mining and knowledge discovery in real life applications
  839. Spatiotemporal data mining: Issues, tasks and applications
  840. Rough set theory: a data mining tool for semiconductor manufacturing
  841. Analysis of an energy efficient building design through data mining approach
  842. Privacy-preserving data mining: methods, metrics, and applications
  843. Systematic survey of big data and data mining in internet of things
  844. Predicting dropout student: An application of data mining methods in an online education program.
  845. Methods for mining HTS data
  846. Analyzing bearing faults in wind turbines: A data-mining approach
  847. Data mining library reuse patterns using generalized association rules
  848. Advanced techniques in knowledge discovery and data mining
  849. Data mining of metal ion environments present in protein structures
  850. Active mining: new directions of data mining
  851. The use of data mining and neural networks for forecasting stock market returns
  852. Methodologies of knowledge discovery from data and data mining methods in mechanical engineering
  853. A data mining approach to modelling of water supply assets
  854. An incident information management framework based on data integration, data mining, and multi-criteria decision making
  855. Data mining for signals in spontaneous reporting databases: proceed with caution
  856. Literature review of data mining applications in academic libraries
  857. Forecasting fraudulent financial statements using data mining
  858. Data mining and knowledge discovery.
  859. Risk mining in medicine: Application of data mining to medical risk management
  860. Application of data mining techniques to model breast cancer data
  861. Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
  862. Time series feature extraction for data mining using DWT and DFT
  863. Mining patterns of events in students’ teamwork data
  864. Data mining techniques for wireless sensor networks: A survey
  865. A survey on graphic processing unit computing for large‐scale data mining
  866. Association rule hiding for data mining
  867. Shared memory parallelization of data mining algorithms: Techniques, programming interface, and performance
  868. Effective counterterrorism and the limited role of predictive data mining
  869. Tada-ed for educational data mining
  870. A novel approach for breast cancer detection using data mining techniques
  871. Data mining technology for the evaluation of web-based teaching and learning systems
  872. Educational data mining applications and tasks: A survey of the last 10 years
  873. Predicting going concern opinion with data mining
  874. Assessment of the risk factors of coronary heart events based on data mining with decision trees
  875. Data mining and text mining technologies for collaborative learning in an ILMS” Ssamurai”
  876. Ontology of core data mining entities
  877. A data mining system for infection control surveillance
  878. Demon: Mining and monitoring evolving data
  879. Evolving limitations in K-means algorithm in data mining and their removal
  880. Mapping student’s performance based on data mining approach (a case study)
  881. Adaptive regression and model selection in data mining problems
  882. Data mining research: Opportunities and challenges
  883. A comparative study of data mining algorithms for network intrusion detection
  884. Developing an approach to evaluate stocks by forecasting effective features with data mining methods
  885. Data mining in metric space: an empirical analysis of supervised learning performance criteria
  886. Big data, mining, and analytics: components of strategic decision making
  887. Turning telecommunications call details to churn prediction: a data mining approach
  888. Data mining in cancer research [application notes]
  889. A survey of data mining techniques on risk prediction: Heart disease
  890. Predicting school failure and dropout by using data mining techniques
  891. A study on feature selection techniques in educational data mining
  892. Formal concept analysis for knowledge discovery and data mining: The new challenges
  893. A data mining framework to analyze road accident data
  894. Proactive data mining using decision trees
  895. A process for mining science & technology documents databases, illustrated for the case of” knowledge discovery and data mining”
  896. Going concern prediction using data mining techniques
  897. Curation by code: Infomediaries and the data mining of taste
  898. Data mining
  899. A hybrid approach of neural network and memory-based learning to data mining
  900. Data mining of the public version of the FDA Adverse Event Reporting System
  901. Data mining techniques for cancer detection using serum proteomic profiling
  902. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
  903. A data-mining model for protection of FACTS-based transmission line
  904. A review of financial accounting fraud detection based on data mining techniques
  905. A study of data mining tools in knowledge discovery process
  906. Performance analysis of data mining classification techniques to predict diabetes
  907. Framework for efficient feature selection in genetic algorithm based data mining
  908. Trade-off between computation time and number of rules for fuzzy mining from quantitative data
  909. Data mining methods for the content analyst: An introduction to the computational analysis of content
  910. Performance analysis and prediction in educational data mining: A research travelogue
  911. Using Meta-Learning to Support Data Mining.
  912. Data mining: Concepts, methods and applications in management and engineering design
  913. Data mining in personalizing distance education courses
  914. Determination of factors influencing the achievement of the first-year university students using data mining methods
  915. Data mining meets performance evaluation: Fast algorithms for modeling bursty traffic
  916. Data mining on imbalanced data sets
  917. Data mining et statistique décisionnelle: l’intelligence des données
  918. Konsep data mining vs sistem pendukung keputusan
  919. Data Mining (Datenmustererkennung)
  920. Технологии анализа данных: Data Mining, Text Mining, Visual Mining, OLAP. 2 изд.
  921. Preâmbulo [a]” Data mining: descoberta de conhecimento em bases de dados”
  922. Assoziationsregeln–Analyse eines Data Mining Verfahrens
  923. Conceitos e aplicações de data mining
  924. Data mining im praktischen Einsatz
  925. Analisi dei dati e data mining per le decisioni aziendali
  926. Методы и модели анализа данных: OLAP и Data Mining
  927. Analisi dei dati e data mining
  928. Data Mining in der Medizin und Medizintechnik
  929. Классификация, регрессия и другие алгоритмы Data Mining с использованием R
  930. Orange: Data mining fruitful and fun-a historical perspective
  931. Data warehouse & data mining
  932. Data Mining: Klasifikasi Menggunakan Algoritma C4. 5

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