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

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
74. NEURAL NETWORKS IN DATA MINING.
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
715. APPLICATION OF BIG DATA IN EDUCATION DATA MINING AND LEARNING ANALYTICS–A LITERATURE REVIEW.
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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