Data Mining Research Topics for MS PhD

Data Mining Research Topics
Data Mining Research Topics

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

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.

  1. Data mining for education
  2. Discovering data mining: from concept to implementation
  3. Data mining: an overview from a database perspective
  4. Discovering knowledge in data
  5. Data mining: a tutorial-based primer
  6. Introduction to data mining with case studies
  7. Data preparation for data mining
  8. Introduction to data mining and its applications
  9. Data mining: statistics and more?
  10. Principles of data mining
  11. Data mining for education
  12. Data preparation for data mining
  13. Data mining in e-learning
  14. Meta learning: Applications to data mining
  15. Active Data Mining.
  16. Advanced data mining techniques
  17. Data mining and KDD: Promise and challenges
  18. Introduction to business data mining
  19. Methodological and practical aspects of data mining
  20. A primer for understanding and applying data mining
  21. R and data mining: Examples and case studies
  22. Three perspectives of data mining
  23. Data analysis and data mining: An introduction
  24. Future trends in data mining
  25. The Quest Data Mining System.
  26. Data Mining and Statistics: What’s the connection?
  27. A perspective on databases and data mining
  28. An introduction to data mining
  29. Data mining as an industry
  30. 10 challenging problems in data mining research
  31. Data mining: opportunities and challenges
  32. Statistical themes and lessons for data mining
  33. Data mining: know it all
  34. Mathematical tools for data mining
  35. Enhancing teaching and learning through educational data mining and learning analytics: An issue brief
  36. From data mining to knowledge discovery in databases
  37. Untangling text data mining
  38. Data mining: a knowledge discovery approach
  39. Data mining your website
  40. Data mining applications in healthcare
  41. Operations research and data mining
  42. Data mining in agriculture
  43. Data mining techniques and applications
  44. Data mining with computational intelligence
  45. Data mining for scientific and engineering applications
  46. Applied data mining
  47. Geographic data mining and knowledge discovery
  48. Graph-based data mining
  49. Data mining in manufacturing: a review
  50. Data mining: Introductory and advanced topics
  51. Data mining in education
  52. A microeconomic view of data mining
  53. Data mining in healthcare–a review
  54. Data preprocessing in data mining
  55. Accomplishments and challenges in literature data mining for biology
  56. A review of data mining techniques
  57. Introduction to data mining
  58. Data mining in healthcare
  59. Machine learning and data mining
  60. Top 10 algorithms in data mining
  61. Data mining: practical machine learning tools and techniques with Java implementations
  62. Data mining for the web
  63. State of the art of graph-based data mining
  64. Data mining techniques and applications–A decade review from 2000 to 2011
  65. Data mining methods for knowledge discovery
  66. E cient and E ective clustering methods for spatial data mining
  67. Data mining: past, present and future
  68. Data mining and statistics for decision making
  69. Encyclopedia of machine learning and data mining
  70. The top ten algorithms in data mining
  71. Data Mining: Concepts, models and techniques
  72. Introduction to data mining in bioinformatics
  73. Data mining algorithms to classify students
  74. Data mining curriculum: A proposal (version 1.0)
  75. GeoMiner: a system prototype for spatial data mining
  76. Data mining in marketing: Part 1
  77. SLIQ: A fast scalable classifier for data mining
  78. Data mining with decision trees: theory and applications
  79. Machine learning and data mining
  80. Predictive data mining in clinical medicine: current issues and guidelines
  81. A survey of temporal data mining
  82. Data mining in healthcare and biomedicine: a survey of the literature
  83. Data mining techniques
  84. Data mining for web intelligence
  85. Relational data mining
  86. Knowledge Discovery and Data Mining: Towards a Unifying Framework.
  87. Data mining: concepts, models, methods, and algorithms
  88. Data mining for the social sciences: An introduction
  89. Data mining application on students’ data
  90. Data mining for design and manufacturing: methods and applications
  91. Using neural networks for data mining
  92. Data mining for fun and profit
  93. Data mining approaches for intrusion detection
  94. Knowledge management and data mining for marketing
  95. Data mining in the e‐learning domain
  96. Applied data mining for business and industry
  97. Data mining methods, applications, and tools
  99. A data mining approach to strategy prediction
  100. Business applications of data mining
  101. Selected techniques for data mining in medicine
  102. Sports data mining
  103. Uniqueness of medical data mining
  104. Data mining with an ant colony optimization algorithm
  105. Data mining of user navigation patterns
  106. Educational data mining: A survey from 1995 to 2005
  107. A survey of clustering data mining techniques
  108. Temporal data mining
  109. Data mining in telecommunications
  110. Data mining cluster analysis: basic concepts and algorithms
  111. Trajectory data mining: an overview
  112. Exploring data mining implementation
  113. Orange: data mining toolbox in Python
  114. Mining big data: current status, and forecast to the future
  115. Data mining in manufacturing: a review based on the kind of knowledge
  116. Web data mining: exploring hyperlinks, contents, and usage data
  117. Effective data mining using neural networks
  118. Applying data mining techniques to e-learning problems
  119. Data mining and machine learning in astronomy
  120. Data mining and knowledge discovery: Making sense out of data
  121. A review on time series data mining
  122. Data mining techniques: for marketing, sales, and customer relationship management
  123. Data mining applications in higher education
  124. Introduction to knowledge discovery and data mining
  125. Data mining techniques for customer relationship management
  126. Knowledge Discovery and Data Mining: Challenges and Realities: Challenges and Realities
  127. Statistical inference and data mining
  128. Data mining: theory and practice [with CD]
  129. Data mining: an industrial research perspective
  130. Data mining for customer service support
  131. Data mining in course management systems: Moodle case study and tutorial
  132. Survey of classification techniques in data mining
  133. Data mining: machine learning, statistics, and databases
  134. Business data mining—a machine learning perspective
  135. Bayesian networks for data mining
  136. Information visualization and visual data mining
  137. Agent mining: The synergy of agents and data mining
  138. Lecture notes in data mining
  139. Security and privacy implications of data mining
  140. CLARANS: A method for clustering objects for spatial data mining
  141. A survey on Data Mining approaches for Healthcare
  142. Data mining for internet of things: A survey
  143. Application of data mining in bioinformatics
  144. Visual data mining: Techniques and tools for data visualization and mining
  145. A study on classification techniques in data mining
  146. Data mining for the enterprise
  147. Visual data mining
  148. Privacy-preserving data mining
  149. Data mining standards initiatives
  150. Educational data mining: A survey and a data mining-based analysis of recent works
  151. Collective data mining: A new perspective toward distributed data mining
  152. Business modeling and data mining
  153. Time-series data mining
  154. Matrix methods in data mining and pattern recognition
  155. Application of data mining techniques to healthcare data
  156. Data mining for the internet of things: literature review and challenges
  157. Data mining: The search for knowledge in databases
  158. Trends in data mining and knowledge discovery
  159. Exploratory data mining and data cleaning
  160. A data mining application in a student database
  161. Mining students data to analyze e-Learning behavior: A Case Study
  162. Information visualization in data mining and knowledge discovery
  163. Sequence data mining
  164. Data mining and predictive analytics
  165. Defining privacy for data mining
  166. Data mining tools
  167. Importance of data mining in higher education system
  168. Target discovery from data mining approaches
  169. DNA visual and analytic data mining
  170. Empirical study on applications of data mining techniques in healthcare
  171. Data mining methods for detection of new malicious executables
  172. A conceptual overview of data mining
  173. Towards parameter-free data mining
  174. Quality measures in data mining
  175. Static Versus Dynamic Sampling for Data Mining.
  176. Data mining application in higher learning institutions
  177. Research issues in web data mining
  178. Practical applications of data mining
  179. Data mining and knowledge discovery with evolutionary algorithms
  180. Feature selection for knowledge discovery and data mining


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

Research Topics for Computer Science, Software Engineering and IT students of PhD and MS for Research Thesis


  1. Network Security Research Topics for MS PhD
  2. Semantic Web Research Topics for MS PhD
  3. Data Mining Research Topics for MS PhD
  4. Cloud Computing Research Topics for MS PhD
  5. Software Fault Tolerance Research Topics for MS PhD
  6. Software Formal Methods Research Topics for MS PhD
  7. Software Testing Research Topics for MS PhD
  8. Web Ontology Research Topics for MS PhD
  9. Artificial Intelligence and Robotics Research Topics for MS PhD
  10. Network Security Research Topics for MS PhD
  11. Information Systems Research Topics
  12. Information Retrieval Research Topics
  13. Machine Learning Research Topics
  14. Computational statistics Research Topics
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