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

- Industry-based research in data mining
- Problem-based research in data mining
- Topic-based research in data mining
- 900+ research ideas in data mining

## Industry-based research in data mining

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

- Automobile Wholesaling
- Pharmaceuticals Wholesaling
- Life Insurance & Annuities
- Online Computer Software Sales
- Supermarkets & Grocery Stores
- Electric Power Transmission
- IT Consulting
- Wholesale Trade Agents and Brokers
- Retirement & Pension Plans
- Petroleum Refining
- New Car Dealers
- Drug, Cosmetic & Toiletry Wholesaling
- Pharmacy Benefit Management
- Property, Casualty and Direct Insurance
- Colleges & Universities
- Public Schools
- Warehouse Clubs & Supercenters
- Hospitals
- Health & Medical Insurance
- Gasoline & Petroleum Wholesaling
- Gasoline & Petroleum Bulk Stations
- Commercial Banking
- Real Estate Loans & Collateralized Debt
- E-Commerce & Online Auctions
- Electronic Part & Equipment Wholesaling

# Problem-based research in data mining

List of some problems for research in data mining.

- Crime Rate Prediction
- Fraud Detection
- Website Evaluation
- Market Analysis
- Financial Analysis
- Customer trend analysis

# Topic-based research in data mining

- Data Warehouse and OLAP
- Data Warehouse and DBMS
- Multidimensional data model
- OLAP operations
- Example: loan data set

- Data preprocessing
- Data cleaning
- Data transformation
- Data reduction
- Discretization and generating concept hierarchies
- Installing Weka 3 Data Mining System
- Experiments with Weka – filters, discretization

- Data mining knowledge representation
- Task relevant data
- Background knowledge
- Interestingness measures
- Representing input data and output knowledge
- Visualization techniques
- Experiments with Weka – visualization

- Attribute-oriented analysis
- Attribute generalization
- Attribute relevance
- Class comparison
- Statistical measures
- Experiments with Weka – using filters and statistics

- Data mining algorithms: Association rules
- Motivation and terminology
- Example: mining weather data
- Basic idea: item sets
- Generating item sets and rules efficiently
- Correlation analysis
- Experiments with Weka – mining association rules

- Data mining algorithms: Classification
- Basic learning/mining tasks
- Inferring rudimentary rules: 1R algorithm
- Decision trees
- Covering rules
- Experiments with Weka – decision trees, rules

- Data mining algorithms: Prediction
- The prediction task
- Statistical (Bayesian) classification
- Bayesian networks
- Instance-based methods (nearest neighbor)
- Linear models
- Experiments with Weka – Prediction

- Clustering
- Basic issues in clustering
- First conceptual clustering system: Cluster/2
- Partitioning methods: k-means, expectation-maximization (EM)
- Hierarchical methods: distance-based agglomerative and divisible clustering
- Conceptual clustering: Cobweb
- Experiments with Weka – k-means, EM, Cobweb

- Advanced techniques, Data Mining software, and applications
- Text mining: extracting attributes (keywords), structural approaches (parsing, soft parsing).
- Bayesian approach to classifying text
- Web mining: classifying web pages, extracting knowledge from the web
- Data Mining software and applications

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

- Data mining for education
- Discovering knowledge in data
- Data preparation for data mining
- Data mining: statistics
- Principles of data mining
- Data mining in e-learning
- Meta-learning: Applications to data mining
- Active Data Mining.
- Advanced data mining techniques
- Data mining and KDD: Promise and challenges
- Introduction to business data mining
- Methodological and practical aspects of data mining
- Future trends in data mining
- The Quest Data Mining System.
- Data mining as an industry
- Data mining: opportunities and challenges
- Statistical themes and lessons for data mining
- Mathematical tools for data mining
- Enhancing teaching and learning through educational data mining and learning analytics: An issue brief
- From data mining to knowledge discovery in databases
- Untangling text data mining
- Data mining: a knowledge discovery approach
- Data mining in websites
- Data mining applications in healthcare
- Data mining in agriculture
- Data mining techniques and applications
- Data mining with computational intelligence
- Data mining for scientific and engineering applications
- Applied data mining
- Geographic data mining and knowledge discovery
- Graph-based data mining
- Data mining in manufacturing
- A microeconomic view of data mining
- Data mining in healthcare
- Data preprocessing in data mining
- Data mining for biology
- Machine learning and data mining
- Data mining: practical machine learning tools and techniques with Java implementations
- State of the art of graph-based data mining
- Data mining techniques and applications–A decade review from 2000 to 2011
- Data mining methods for knowledge discovery
- E cient and E ective clustering methods for spatial data mining
- Data mining: past, present and future
- Data mining and statistics for decision making
- Encyclopedia of machine learning and data mining
- The top ten algorithms in data mining
- Data Mining: Concepts, models and techniques
- Introduction to data mining in bioinformatics
- Data mining algorithms to classify students
- Data mining curriculum: A proposal (version 1.0)
- GeoMiner: a system prototype for spatial data mining
- Data mining in marketing: Part 1
- SLIQ: A fast scalable classifier for data mining
- Data mining with decision trees: theory and applications
- Machine learning and data mining
- Predictive data mining in clinical medicine: current issues and guidelines
- A survey of temporal data mining
- Data mining in healthcare and biomedicine: a survey of the literature
- Data mining techniques
- Data mining for web intelligence
- Relational data mining
- Knowledge Discovery and Data Mining: Towards a Unifying Framework.
- Data mining: concepts, models, methods, and algorithms
- Data mining for the social sciences: An introduction
- Data mining application on students’ data
- Data mining for design and manufacturing: methods and applications
- Using neural networks for data mining
- Data mining for fun and profit
- Data mining approaches for intrusion detection
- Knowledge management and data mining for marketing
- Data mining in the e‐learning domain
- Applied data mining for business and industry
- Data mining methods, applications, and tools
- NEURAL NETWORKS IN DATA MINING.
- A data mining approach to strategy prediction
- Business applications of data mining
- Selected techniques for data mining in medicine
- Sports data mining
- Uniqueness of medical data mining
- Data mining with an ant colony optimization algorithm
- Data mining of user navigation patterns
- Educational data mining: A survey from 1995 to 2005
- A survey of clustering data mining techniques
- Temporal data mining
- Data mining in telecommunications
- Data mining cluster analysis: basic concepts and algorithms
- Trajectory data mining: an overview
- Exploring data mining implementation
- Orange: data mining toolbox in Python
- Mining big data: current status, and forecast to the future
- Data mining in manufacturing: a review based on the kind of knowledge
- Web data mining: exploring hyperlinks, contents, and usage data
- Effective data mining using neural networks
- Applying data mining techniques to e-learning problems
- Data mining and machine learning in astronomy
- Data mining and knowledge discovery: Making sense out of data
- A review on time series data mining
- Data mining techniques: for marketing, sales, and customer relationship management
- Data mining applications in higher education
- Introduction to knowledge discovery and data mining
- Data mining techniques for customer relationship management
- Knowledge Discovery and Data Mining: Challenges and Realities: Challenges and Realities
- Statistical inference and data mining
- Data mining: theory and practice [with CD]
- Data mining: an industrial research perspective
- Data mining for customer service support
- Data mining in course management systems: Moodle case study and tutorial
- Survey of classification techniques in data mining
- Data mining: machine learning, statistics, and databases
- Business data mining—a machine learning perspective
- Bayesian networks for data mining
- Information visualization and visual data mining
- Agent mining: The synergy of agents and data mining
- Lecture notes in data mining
- Security and privacy implications of data mining
- CLARANS: A method for clustering objects for spatial data mining
- A survey on Data Mining approaches for Healthcare
- Data mining for internet of things: A survey
- Application of data mining in bioinformatics
- Visual data mining: Techniques and tools for data visualization and mining
- A study on classification techniques in data mining
- Data mining for the enterprise
- Visual data mining
- Privacy-preserving data mining
- Data mining standards initiatives
- Educational data mining: A survey and a data mining-based analysis of recent works
- Collective data mining: A new perspective toward distributed data mining
- Business modeling and data mining
- Time-series data mining
- Matrix methods in data mining and pattern recognition
- Application of data mining techniques to healthcare data
- Data mining for the internet of things: literature review and challenges
- Data mining: The search for knowledge in databases
- Trends in data mining and knowledge discovery
- Exploratory data mining and data cleaning
- A data mining application in a student database
- Mining students data to analyze e-Learning behavior: A Case Study
- Information visualization in data mining and knowledge discovery
- Sequence data mining
- Data mining and predictive analytics
- Defining privacy for data mining
- Data mining tools
- Importance of data mining in higher education system
- Target discovery from data mining approaches
- DNA visual and analytic data mining
- Empirical study on applications of data mining techniques in healthcare
- Data mining methods for detection of new malicious executables
- A conceptual overview of data mining
- Towards parameter-free data mining
- Quality measures in data mining
- Static Versus Dynamic Sampling for Data Mining.
- Data mining application in higher learning institutions
- Research issues in web data mining
- Practical applications of data mining
- Data mining and knowledge discovery with evolutionary algorithms
- Feature selection for knowledge discovery and data mining
- Data mining and the impact of missing data
- Data mining with Microsoft SQL server 2008
- Data preparation for data mining using SAS
- Data mining for hypertext: A tutorial survey
- Feature extraction, construction and selection: A data mining perspective
- Data mining for direct marketing: Problems and solutions.
- Research on data mining models for the internet of things
- A perspective on data mining
- Application of data mining techniques in customer relationship management: A literature review and classification
- Clinical data mining: a review
- Reality check for data mining
- MineSet: An Integrated System for Data Mining.
- Statistics: methods and applications: a comprehensive reference for science, industry, and data mining
- Educational data mining: a review of the state of the art
- Game data mining
- Spatio-temporal data mining: A survey of problems and methods
- Model uncertainty, data mining and statistical inference
- Data mining for the masses
- Swarm intelligence in data mining
- Data mining techniques: a survey paper
- Spatial data mining
- Spatial data mining: A database approach
- Music data mining
- A survey on wavelet applications in data mining
- Data mining of cellular automata’s transition rules
- Technology overview: A report on data mining
- Web data mining research: a survey
- Data mining: technologies, techniques, tools, and trends
- Techniques of cluster algorithms in data mining
- The SPMF open-source data mining library version 2
- Data Mining, Surveillance, and Discrimination in the Post-9/11 Environment
- Feature transformation methods in data mining
- Statistical data mining using SAS applications
- Applications of data mining in higher education
- Trends in spatial data mining
- Data mining for web personalization
- Privacy preserving data mining
- OntoDM: An ontology of data mining
- Metaqueries for data mining
- Evolving data into mining solutions for insights
- Integrating e-commerce and data mining: Architecture and challenges
- Data Mining‐a powerful information creating tool
- From big data to big data mining: challenges, issues, and opportunities
- Governmental data mining and its alternatives
- Data mining on multimedia data
- Data mining for dummies
- A descriptive framework for the field of data mining and knowledge discovery
- Data mining for imbalanced datasets: An overview
- Data mining in bioinformatics using Weka
- Intelligent data mining: techniques and applications
- Cluster analysis and data mining: An introduction
- Using data mining methods to build customer profiles
- Real time data mining
- Mining of massive datasets
- Crime data mining: a general framework and some examples
- Cultural studies of data mining: Introduction
- Data mining in social media
- Principles and theory for data mining and machine learning
- Data mining for software engineering
- IntOGen: integration and data mining of multidimensional oncogenomic data
- Data mining: multimedia, soft computing, and bioinformatics
- Data mining our way to the next generation of thermoelectrics
- Editorial survey: swarm intelligence for data mining
- Applications of data mining to electronic commerce
- Data mining and the web: Past, present and future
- Data mining: A preprocessing engine
- Spatial data mining: progress and challenges survey paper
- A study on video data mining
- Mining multimedia data.
- Large-scale parallel data mining
- The elements of statistical learning: data mining, inference, and prediction
- Advancing knowledge discovery and data mining
- The WEKA data mining software: an update
- OLAP mining: An integration of OLAP with data mining
- Data mining and its applications for knowledge management: a literature review from 2007 to 2012
- Emerging standards for data mining
- Tools for privacy preserving distributed data mining
- Applications of data mining in retail business
- Data mining for discrimination discovery
- Applying data mining to manufacturing: the nature and implications
- Mining e-commerce data: The good, the bad, and the ugly
- Data mining applications in healthcare sector: a study
- On measuring and correcting the effects of data mining and model selection
- Role of data mining in education sector
- Data mining: manufacturing and service applications
- The survey of data mining applications and feature scope
- A survey of evolutionary algorithms for data mining and knowledge discovery
- Mining graph data
- A bibliography of temporal, spatial and spatio-temporal data mining research
- ADAM: Detecting intrusions by data mining
- Cluster analysis for data mining and system identification
- Eliminating noisy information in web pages for data mining
- A survey of data mining and knowledge discovery software tools
- Academic analytics and data mining in higher education
- Managing and mining sensor data
- Data mining concepts and techniques third edition
- Data mining with SQL Server 2005
- A survey of data mining techniques applied to agriculture
- Optimization based data mining: theory and applications
- Efficient data mining for path traversal patterns
- Mining knowledge in geographical data
- Yale: Rapid prototyping for complex data mining tasks
- Ethical issues in web data mining
- Data mining with big data
- A web crawler design for data mining
- FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
- Mathematical programming for data mining: Formulations and challenges
- Effective educational process: a data‐mining approach
- An empirical study of the applications of data mining techniques in higher education
- Privacy preserving data mining.
- Data mining for very busy people
- The state of educational data mining in 2009: A review and future visions
- Social area analysis, data mining, and GIS
- State-of-the-art in privacy preserving data mining
- Developing innovative applications in agriculture using data mining
- Pattern recognition algorithms for data mining
- Using data mining to predict secondary school student performance
- Data Mining Using a Machine Learning Library in C++
- A data mining methodology for cross-sales
- On the design and quantification of privacy preserving data mining algorithms
- On the need for time series data mining benchmarks: a survey and empirical demonstration
- Interestingness measures for data mining: A survey
- Applications of data mining in computer security
- Data mining for improvement of product quality
- Data mining: theories, algorithms, and examples
- A data mining framework for building intrusion detection models
- Spatial data mining and geographic knowledge discovery—An introduction
- A basic primer on data mining
- An information theoretic framework for data mining
- Survey on anomaly detection using data mining techniques
- 50 years of data mining and OR: upcoming trends and challenges
- High-throughput functional annotation and data mining with the Blast2GO suite
- Data mining in finance: advances in relational and hybrid methods
- Towards a general framework for data mining
- Towards on-line analytical mining in large databases
- Geographic data mining and knowledge discovery: An overview
- A comparison of several approaches to missing attribute values in data mining
- Mining student data using decision trees
- Statistics and data mining: intersecting disciplines
- Information security in big data: privacy and data mining
- Journey from data mining to Web Mining to Big Data
- Fuzzy computing for data mining
- Bottom-up generalization: A data mining solution to privacy protection
- The data mining optimization ontology
- SPRINT: A scalable parallel classifier for data mining
- Automatic subspace clustering of high dimensional data for data mining applications
- From visual data exploration to visual data mining: A survey
- Online data mining for co-evolving time sequences
- CRISP-DM: Towards a standard process model for data mining
- Textual data mining to support science and technology management
- Data mining for business intelligence: Concepts, techniques, and applications in Microsoft Office Excel with XLMiner
- Prediction and decision making in health care using data mining
- Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research
- Advances in K-means clustering: a data mining thinking
- Data mining and analytics in the process industry: The role of machine learning
- The data-mining industry coming of age
- A survey and future vision of data mining in educational field
- Predictive data mining in clinical medicine: a focus on selected methods and applications
- Mining of massive data sets
- Lessons and challenges from mining retail e-commerce data
- Analysis of agriculture data using data mining techniques: application of big data
- The UCI KDD archive of large data sets for data mining research and experimentation
- Modeling wine preferences by data mining from physicochemical properties
- Data mining and surveillance in the post 9/11 environment
- The impact of data mining techniques on medical diagnostics
- Feature selection: An ever evolving frontier in data mining
- Weka-a machine learning workbench for data mining
- Data mining in design of products and production systems
- The contribution of data mining to information science
- How can data mining help bio-data analysis?
- Data Science for Business: What you need to know about data mining and data-analytic thinking
- Compression-based data mining of sequential data
- Data mining with decision trees and decision rules
- Constraint-based, multidimensional data mining
- Three myths about dynamic time warping data mining
- A review of evolutionary algorithms for data mining
- Research of data mining based on neural networks
- Real time data mining-based intrusion detection
- Analysis of cancer data: a data mining approach
- Data mining a diabetic data warehouse
- On exploiting the power of time in data mining
- Warmr: a data mining tool for chemical data
- Data mining and machine learning in cybersecurity
- An introduction to support vector machines for data mining
- Adaptive intrusion detection: A data mining approach
- Data mining for path traversal patterns in a web environment
- Investigative data mining for security and criminal detection
- Data mining for improved cardiac care
- SPC: A distributed, scalable platform for data mining
- Data mining for network intrusion detection
- Clinical data-mining: Integrating practice and research
- Data mining and linked open data–New perspectives for data analysis in environmental research
- Distributed data mining: Algorithms, systems, and applications
- Data mining corrections
- Data mining and knowledge discovery in databases: implications for scientific databases
- Neurorule: A connectionist approach to data mining
- Particle swarm based data mining algorithms for classification tasks
- Get another label? improving data quality and data mining using multiple, noisy labelers
- Decision tree analysis on j48 algorithm for data mining
- Trends in information fusion in data mining
- Exploratory spatio-temporal data mining and visualization
- Data mining in biomedicine
- Fuzzy modeling and genetic algorithms for data mining and exploration
- Data Mining: A prediction of performer or underperformer using classification
- Orange: From experimental machine learning to interactive data mining
- Review of data preprocessing techniques in data mining
- The role of domain knowledge in data mining
- Data mining for hotel firms: Use and limitations
- Statistics, data mining, and machine learning in astronomy: a practical Python guide for the analysis of survey data
- Data mining algorithms: explained using R
- Evaluation of sampling for data mining of association rules
- Efficient parallel data mining for association rules
- Mathematical programming in data mining
- Data mining for credit card fraud: A comparative study
- Data mining in educational technology classroom research: Can it make a contribution?
- Data mining for climate change and impacts
- Data mining with differential privacy
- Classification algorithm in data mining: An overview
- Mining time-changing data streams
- Data mining approach to detect heart diseases
- Application of data mining techniques in pharmacovigilance
- Class imbalance problem in data mining review
- Targeting the right students using data mining
- Data mining in social networks
- Crime data mining: an overview and case studies
- Machine learning and data mining methods in diabetes research
- Template detection via data mining and its applications
- Business intelligence: data mining and optimization for decision making
- Classification algorithms for data mining: A survey
- Constraint-based data mining
- When do data mining results violate privacy?
- A data mining approach for signal detection and analysis
- Ensemble methods in data mining: improving accuracy through combining predictions
- Contemporary issues in exploratory data mining in the behavioral sciences
- A statistical perspective on data mining
- A data mining analysis of RTID alarms
- Privacy-preserving data mining: models and algorithms
- Data mining in healthcare: Current applications and issues
- Multi-relational data mining: an introduction
- STING: A statistical information grid approach to spatial data mining
- Educational Data Mining: a Case Study.
- Data Mining and Knowledge Management in Higher Education-Potential Applications.
- Educational data mining: A review
- Techniques of data mining in healthcare: a review
- Predicting breast cancer survivability: a comparison of three data mining methods
- The role of data mining in pharmacovigilance
- From patterns in data to knowledge discovery: What data mining can do
- Matminer: An open source toolkit for materials data mining
- Overview of data mining for customer behavior modeling
- DMQL: A data mining query language for relational databases
- ONCOMINE: a cancer microarray database and integrated data-mining platform
- An introduction to the WEKA data mining system
- Treefinder: a first step towards xml data mining
- Application of data mining techniques for medical image classification
- Fake news detection on social media: A data mining perspective
- State-of-the-art overview on data mining in power systems
- An Overview Of Temporal Data Mining.
- Data mining approaches to criminal career analysis
- Rough sets and data mining: Analysis of imprecise data
- A comparative study of classification techniques in data mining algorithms
- Fuzzy data mining and genetic algorithms applied to intrusion detection
- Advanced scout: Data mining and knowledge discovery in NBA data
- Data mining and data analysis for counterterrorism
- Extracting landmarks with data mining methods
- Data mining and database systems: Where is the intersection?
- Influence Propagation in Social Networks: A Data Mining Perspective.
- Mining association rules from quantitative data
- Privacy preserving data mining
- Applying data mining to telecom churn management
- A data mining approach to the prediction of corporate failure
- Algorithms and applications for spatial data mining
- Mining educational data to analyze students’ performance
- An attacker’s view of distance preserving maps for privacy preserving data mining
- Introduction to data mining for the life sciences
- Distributed data mining: a survey
- Data mining in cloud computing
- A systematic review on educational data mining
- Benchmarking attribute selection techniques for discrete class data mining
- Scientific data mining: a practical perspective
- Discovering golden nuggets: data mining in financial application
- Parallel data mining on graphics processors
- Spatiotemporal data mining: A computational perspective
- Data mining models for student careers
- Data mining with Rattle and R: The art of excavating data for knowledge discovery
- Data mining techniques in social media: A survey
- Discrimination-aware data mining
- Text data mining: theory and methods
- Mining scientific data
- AINE: An immunological approach to data mining
- Data mining: Trends in research and development
- Data mining the Web: uncovering patterns in Web content, structure, and usage
- Data mining issues and opportunities for building nursing knowledge
- A review of data mining applications in crime
- Theoretical frameworks for data mining
- A data mining & knowledge discovery process model
- Data mining and clinical data repositories: Insights from a 667,000 patient data set
- Evaluating feature selection methods for learning in data mining applications
- Fuzzy methods in machine learning and data mining: Status and prospects
- Data Mining: A prediction for performance improvement using classification
- A data mining approach for database intrusion detection
- Deep learning for spatio-temporal data mining: A survey
- Data mining emotion in social network communication: Gender differences in MySpace
- Comparing data mining methods on the VAERS database
- A data mining approach to predict forest fires using meteorological data
- Microarray data mining: facing the challenges
- Perspectives on the use of data mining in pharmacovigilance
- Autonomous decision-making: A data mining approach
- Data mining-driven manufacturing process optimization
- Scalable parallel data mining for association rules
- Text mining: The state of the art and the challenges
- Intelligent heart disease prediction system using data mining techniques
- Data mining techniques and its applications in banking sector
- Algoritma data mining
- A review of data mining applications for quality improvement in manufacturing industry
- A comprehensive survey of data mining-based fraud detection research
- A survey on decision tree algorithms of classification in data mining
- A comparative study of RNN for outlier detection in data mining
- Crime pattern detection using data mining
- Biological data mining
- Distributed data mining in credit card fraud detection
- Datenvisualisierung und data mining
- A condensation approach to privacy preserving data mining
- Data mining of association structures to model consumer behaviour
- A fast clustering algorithm to cluster very large categorical data sets in data mining.
- Webzeitgeist: design mining the web
- Using data mining techniques for diagnosis and prognosis of cancer disease
- Information-theoretic measures for knowledge discovery and data mining
- The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
- Customer retention via data mining
- Challenges and opportunities in mining neuroscience data
- Data mining methods for recommender systems
- Predicting crystal structure by merging data mining with quantum mechanics
- Data Quality Mining-Making a Virute of Necessity.
- GeoDMA—Geographic data mining analyst
- Identification of significant features and data mining techniques in predicting heart disease
- Survey on clustering techniques in data mining
- Improving on ‘Data mining reconsidered’by KD Hoover and SJ Perez
- Orange4WS environment for service-oriented data mining
- A survey of knowledge discovery and data mining process models
- Using genetic algorithms for data mining optimization in an educational web-based system
- Research on CBR system based on data mining
- GeneMerge—post-genomic analysis, data mining, and hypothesis testing
- Neural network tool for data mining: SOM toolbox
- A methodology for direct and indirect discrimination prevention in data mining
- Multimedia data mining: state of the art and challenges
- A survey of multiobjective evolutionary algorithms for data mining: Part I
- Combining complex networks and data mining: why and how
- KEEL: a software tool to assess evolutionary algorithms for data mining problems
- Data mining of agricultural yield data: A comparison of regression models
- Advances in machine learning and data mining for astronomy
- A review on predicting student’s performance using data mining techniques
- Short-term prediction of wind farm power: A data mining approach
- Survey of data mining techniques used in healthcare domain
- Data mining: data analysis on a grand scale?
- Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases.
- Data preparation for mining world wide web browsing patterns
- Data mining in time series databases
- Data mining for network intrusion detection: How to get started
- Implementation of data mining techniques for meteorological data analysis
- Student data mining solution–knowledge management system related to higher education institutions
- A data mining based NTL analysis method
- A Data mining view on class room teaching language
- Using data mining techniques in heart disease diagnosis and treatment
- Data mining tasks and methods: Classification: decision-tree discovery
- Data mining of inputs: analysing magnitude and functional measures
- Rattle: a data mining GUI for R
- Role mining-revealing business roles for security administration using data mining technology
- Next generation of data mining
- k-Anonymous Data Mining: A Survey
- Mining with noise knowledge: error-aware data mining
- Educational data mining and learning analytics
- Semantic data mining: A survey of ontology-based approaches
- Big data, data mining, and machine learning: value creation for business leaders and practitioners
- Data mining for measuring and improving the success of web sites
- From local patterns to global models: the LeGo approach to data mining
- Issues, challenges, and solutions: big data mining
- Distributed data mining for e-business
- The cost of privacy: destruction of data-mining utility in anonymized data publishing
- Optimising product configurations with a data-mining approach
- The GeneCards suite: from gene data mining to disease genome sequence analyses
- Review on mining data from multiple data sources
- Data mining: How research meets practical development?
- Credit scoring with a data mining approach based on support vector machines
- Data mining system and applications: A review
- Fundamentals of data mining in genomics and proteomics
- Application of data mining: Diabetes health care in young and old patients
- Mining students’ data for prediction performance
- Maintaining data privacy in association rule mining
- Fuzzy data mining for interesting generalized association rules
- Biometric system and data analysis: Design, evaluation, and data mining
- Semantic Web in data mining and knowledge discovery: A comprehensive survey
- Mining very large databases
- Java data mining: Strategy, standard, and practice: a practical guide for architecture, design, and implementation
- Understanding complex datasets: data mining with matrix decompositions
- Mining multi-label data
- Intrusion detection using data mining techniques
- A practical guide to data mining for business and industry
- Recommendation in higher education using data mining techniques
- A history mechanism for visual data mining
- An intelligent system for customer targeting: a data mining approach
- Uncertain data mining: An example in clustering location data
- Time granularities in databases, data mining, and temporal reasoning
- Analyzing undergraduate students’ performance using educational data mining
- Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining
- Characterising data mining software
- Data mining approach for predicting student performance
- On mining scientific datasets
- Data mining reconsidered: encompassing and the general‐to‐specific approach to specification search
- Improving Markov chain Monte Carlo model search for data mining
- Data mining using high performance data clouds: experimental studies using sector and sphere
- Understanding users’ behavior with software operation data mining
- Meaning and mining: the impact of implicit assumptions in data mining for the humanities
- Data mining and business analytics with R
- Medical data mining by fuzzy modeling with selected features
- Medical data mining: knowledge discovery in a clinical data warehouse.
- A survey on trajectory data mining: Techniques and applications
- A general survey of privacy-preserving data mining models and algorithms
- Data mining–past, present and future–a typical survey on data streams
- Toward data mining engineering: A software engineering approach
- Predicting academic performance by data mining methods
- Evolutionary computation in data mining
- Data mining for hierarchical model creation
- Data matching, data mining, and due process
- Informational privacy, data mining, and the internet
- Data mining in healthcare for heart diseases
- Minebench: A benchmark suite for data mining workloads
- Behavioural data mining of transit smart card data: A data fusion approach
- Making sense of data II: A practical guide to data visualization, advanced data mining methods, and applications
- Leakage in data mining: Formulation, detection, and avoidance
- Instance selection and construction for data mining
- [PS][PS] Enhancements to the data mining process
- Predicting school failure using data mining
- An overview of free software tools for general data mining
- Data mining applications in accounting: A review of the literature and organizing framework
- Mining text data: special features and patterns
- Survey of data mining
- Data‐mining discovery of pattern and process in ecological systems
- Application of a data-mining technique to analyze coprescription patterns for antacids in Taiwan
- The limits of privacy in automated profiling and data mining
- Secure multiparty computation for privacy preserving data mining
- A survey of open source data mining systems
- Data mining: Theory, methodology, techniques, and applications
- Classification and feature selection techniques in data mining
- Customer data clustering using data mining technique
- A data mining approach to developing the profiles of hotel customers
- Data mining in educational system using weka
- A survey of data mining and knowledge discovery process models and methodologies
- Data mining in brain imaging
- Data mining for materials: Computational experiments with compounds
- Unsupervised generation of data mining features from linked open data
- Data analysis and data mining: current issues in biomedical informatics
- Machine learning and data mining for computer security: methods and applications
- Proteomics data mining
- Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework.
- A review of data mining using big data in health informatics
- A critical review of multi-objective optimization in data mining: a position paper
- A survey of data mining and machine learning methods for cyber security intrusion detection
- Scaling big data mining infrastructure: the twitter experience
- Data mining and knowledge discovery technologies
- The WM method completed: a flexible fuzzy system approach to data mining
- Comparative analysis of data mining methods for bankruptcy prediction
- Tools for educational data mining: A review
- Contrast data mining: concepts, algorithms, and applications
- Predicting crystal structures with data mining of quantum calculations
- Providing k-anonymity in data mining
- A comparative study for outlier detection techniques in data mining
- Survey on mining subjective data on the web
- Data mining and personalization technologies
- Dangers of data mining: The case of calendar effects in stock returns
- Assessing data mining results via swap randomization
- A methodology for dynamic data mining based on fuzzy clustering
- Data mining techniques in CRM: inside customer segmentation
- Combining data mining and machine learning for effective user profiling.
- Mobility, data mining and privacy: Geographic knowledge discovery
- High-throughput and data mining with ab initio methods
- An updated bibliography of temporal, spatial, and spatio-temporal data mining research
- Data mining and Internet profiling: Emerging regulatory and technological approaches
- A data mining approach to characterize road accident locations
- STING+: An approach to active spatial data mining
- Financial stock market forecast using data mining techniques
- Study of Spanish mining accidents using data mining techniques
- Data mining for security applications
- Admit: anomaly-based data mining for intrusions
- Microarray data mining with visual programming
- Feature selection in data mining
- Analysis the effect of data mining techniques on database
- Summary from the KDD-03 panel: data mining: the next 10 years
- Survey of Clustering Algorithms in Data Mining [J]
- Discovering web access patterns and trends by applying OLAP and data mining technology on web logs
- On the use of optimization for data mining: Theoretical interactions and eCRM opportunities
- Data Mining: Going beyond Traditional Statistics.
- A data-mining approach to monitoring wind turbines
- Predicting student performance: an application of data mining methods with an educational web-based system
- Educational data mining
- Random-data perturbation techniques and privacy-preserving data mining
- Data organization and access for efficient data mining
- Agent intelligence through data mining
- A hybrid decision tree/genetic algorithm method for data mining
- Web usage mining: Discovery and applications of usage patterns from web data
- Predicting student performance by using data mining methods for classification
- Three attitudes towards data mining
- Learning analytics and educational data mining: towards communication and collaboration
- Fuzzy support vector machines for pattern recognition and data mining
- Integrating probabilistic extraction models and data mining to discover relations and patterns in text
- An overview of issues in developing industrial data mining and knowledge discovery applications.
- Revisiting the foundations of artificial immune systems for data mining
- Data mining with neural networks and support vector machines using the R/rminer tool
- Predicting breast cancer survivability using data mining techniques
- A framework for evaluating privacy preserving data mining algorithms
- A comparison study between data mining tools over some classification methods
- Application of data mining in educational database for predicting behavioural patterns of the students
- Combining text mining and data mining for bug report classification
- Understanding the crucial role of attribute interaction in data mining
- Data mining-based intrusion detectors
- Case study: how to apply data mining techniques in a healthcare data warehouse
- ADaM: a data mining toolkit for scientists and engineers
- Applications of data mining techniques in healthcare and prediction of heart attacks
- Statistical and Machine-Learning Data Mining:: Techniques for Better Predictive Modeling and Analysis of Big Data
- Data mining techniques for better decisions in human resource management systems
- A novel evolutionary data mining algorithm with applications to churn prediction
- WEBSOM for textual data mining
- Data mining for aerodynamic design space
- Big data for education: Data mining, data analytics, and web dashboards
- Distributed data mining and agents
- Toward knowledge-rich data mining
- Data Mining: A Heuristic Approach: A Heuristic Approach
- Application of data mining techniques in weather prediction and climate change studies
- Data mining applications: A comparative study for predicting student’s performance
- Advances in data stream mining
- Data mining for business applications
- Data mining techniques to find out heart diseases: an overview
- A systematic review on healthcare analytics: application and theoretical perspective of data mining
- A CHAID based performance prediction model in educational data mining
- Data mining for yield enhancement in semiconductor manufacturing and an empirical study
- A state-of-the-art survey of malware detection approaches using data mining techniques
- Data mining techniques applied to medical information
- CORNET: a user-friendly tool for data mining and integration
- Scalable tensor decompositions for multi-aspect data mining
- A perspective analysis of traffic accident using data mining techniques
- Decision support system of scholarship grantee selection using data mining
- Data mining: From serendipity to science
- Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data
- Trajectory data mining: A review of methods and applications
- Data mining in education: data classification and decision tree approach
- Data mining using two-dimensional optimized association rules: Scheme, algorithms, and visualization
- Data mining from 1994 to 2004: an application-orientated review
- Computational historiography: Data mining in a century of classics journals
- Differentiating between data-mining and text-mining terminology
- Biclustering in data mining
- Comparative study of data mining classification methods in cardiovascular disease prediction 1
- A survey on privacy preserving data mining
- A comparison of linear genetic programming and neural networks in medical data mining
- Soft computing for data mining applications
- Automating the design of data mining algorithms: an evolutionary computation approach
- Using data mining to estimate missing sensor data
- Data mining using SAS enterprise miner
- The non-negative matrix factorization toolbox for biological data mining
- Neural data mining for credit card fraud detection
- APPLICATION OF BIG DATA IN EDUCATION DATA MINING AND LEARNING ANALYTICS–A LITERATURE REVIEW.
- Cancer gene search with data-mining and genetic algorithms
- Data mining in elite sports: a review and a framework
- ANF: A fast and scalable tool for data mining in massive graphs
- Mining high-speed data streams
- Combination data mining methods with new medical data to predicting outcome of coronary heart disease
- Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
- Application of data mining in educational databases for predicting academic trends and patterns
- Practical text mining and statistical analysis for non-structured text data applications
- Data mining for intrusion detection
- Data mining to predict aircraft component replacement
- Minerals: using data mining to detect router misconfigurations
- Fuzzy data mining for time-series data
- Integrating data mining with SQL databases: OLE DB for data mining
- Predictive analytics and data mining: concepts and practice with rapidminer
- Applying data mining in investigating money laundering crimes
- Multimediaminer: a system prototype for multimedia data mining
- Domain driven data mining
- Survey of multiobjective evolutionary algorithms for data mining: Part II
- Local and global methods in data mining: Basic techniques and open problems
- Fast algorithms for mining association rules
- Association rule mining: A survey
- Synergies of operations research and data mining
- Analysis of eight data mining algorithms for smarter Internet of Things (IoT)
- Data mining and business intelligence: A guide to productivity
- Water reservoir control with data mining
- Incremental generalization for mining in a data warehousing environment
- Application of data mining techniques in stock markets: A survey
- Data mining in genomics
- Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
- Pengantar data mining: mengagali pengetahuan dari bongkahan data
- A brief survey of data mining techniques applied to agricultural data
- Rdf2vec: Rdf graph embeddings for data mining
- Data mining of tree-based models to analyze freeway accident frequency
- Scalable, Distributed Data Mining-An Agent Architecture.
- Data mining, rough sets and granular computing
- Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
- An analytic approach to select data mining for business decision
- Privacy preserving association rule mining in vertically partitioned data
- Data mining using grammar based genetic programming and applications
- Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges
- Statistical data mining and knowledge discovery
- Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty
- The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing
- Data mining method for listed companies’ financial distress prediction
- Data mining with temporal abstractions: learning rules from time series
- Geographic data mining and knowledge discovery
- Measuring the impact of data mining on churn management
- Data mining: A competitive weapon for banking and retail industries
- Using data mining for customer satisfaction research
- A survey of data mining and deep learning in bioinformatics
- All that glitters is not gold: Digging beneath the surface of data mining
- The curse of dimensionality in data mining and time series prediction
- Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
- Visualization support for data mining
- Spatio-temporal data mining for climate data: Advances, challenges, and opportunities
- Knowledge management, data mining, and text mining in medical informatics
- Data mining-techniques, methods and algorithms: A review on tools and their validity
- Data mining and genetic algorithm based gene/SNP selection
- Data mining of social networks represented as graphs
- A data mining approach for diagnosis of coronary artery disease
- Developing a hybrid intrusion detection system using data mining for power systems
- Data mining in building automation system for improving building operational performance
- Data mining and wind power prediction: A literature review
- Data mining: um guia prático
- Association of genes to genetically inherited diseases using data mining
- Application of enhanced analysis model for data mining processes in higher educational system
- A survey on clustering techniques for big data mining
- A survey of data mining techniques for social media analysis
- Emerging scientific applications in data mining
- Disease prediction in data mining technique–a survey
- A review of the application of machine learning and data mining approaches in continuum materials mechanics
- An overview of data mining techniques
- Usefulness and applications of data mining in extracting information from different perspectives
- Data mining and knowledge discovery for process monitoring and control
- Educational Data Mining: A review of evaluation process in the e-learning
- Data mining approach to policy analysis in a health insurance domain
- Application of data mining tools to hotel data mart on the Intranet for database marketing
- Privacy issues in knowledge discovery and data mining
- Video data mining using configurations of viewpoint invariant regions
- Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression
- Detecting and investigating crime by means of data mining: a general crime matching framework
- Application of data mining techniques to identify relevant key performance indicators
- Data mining: A prediction for performance improvement of engineering students using classification
- ACODF: a novel data clustering approach for data mining in large databases
- Assessment of hierarchical clustering methodologies for proteomic data mining
- Applications of data mining techniques in pharmaceutical industry.
- An analysis of heart disease prediction using different data mining techniques
- Using sensitivity analysis and visualization techniques to open black box data mining models
- Data mining-practical machine learning tools and techniques with Java implementations
- Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining
- Prediction and diagnosis of heart disease by data mining techniques
- Educational data mining & students’ performance prediction
- A comparative study of various clustering algorithms in data mining
- The bibliomining process: Data warehousing and data mining for library decision-making
- RapidMiner: Data mining use cases and business analytics applications
- 3DM: domain-oriented data-driven data mining
- Challenges for data mining in distributed sensor networks
- Privacy preserving data mining techniques: current scenario and future prospects
- Improved study of heart disease prediction system using data mining classification techniques
- Link mining: a survey
- Parallel and distributed data mining: An introduction
- Challenges in mining social network data: processes, privacy, and paradoxes
- Mining database structure; or, how to build a data quality browser
- Brief survey of crowdsourcing for data mining
- Predictive data mining: practical examples
- Strategies for parallel data mining
- Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
- Data-mining technologies for diabetes: a systematic review
- Using data mining techniques to characterize participation in observational studies
- Automatic categorization of medical images for content-based retrieval and data mining
- The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients
- Prediction of benign and malignant breast cancer using data mining techniques
- Text knowledge mining: an alternative to text data mining
- Use of data mining techniques to determine and predict length of stay of cardiac patients
- A systematic review of data mining and machine learning for air pollution epidemiology
- Data mining methods for knowledge discovery in multi-objective optimization: Part A-Survey
- Approximate boolean reasoning: Foundations and applications in data mining
- Data-mining-based methodology for the design of product families
- Data mining and domestic security: Connecting the dots to make sense of data
- The elements of statistical learning: data mining, inference, and prediction
- Data mining for exploring hidden patterns between KM and its performance
- Molecular feature mining in HIV data
- Data mining and knowledge discovery in real life applications
- Spatiotemporal data mining: Issues, tasks and applications
- Rough set theory: a data mining tool for semiconductor manufacturing
- Analysis of an energy efficient building design through data mining approach
- Privacy-preserving data mining: methods, metrics, and applications
- Systematic survey of big data and data mining in internet of things
- Predicting dropout student: An application of data mining methods in an online education program.
- Methods for mining HTS data
- Analyzing bearing faults in wind turbines: A data-mining approach
- Data mining library reuse patterns using generalized association rules
- Advanced techniques in knowledge discovery and data mining
- Data mining of metal ion environments present in protein structures
- Active mining: new directions of data mining
- The use of data mining and neural networks for forecasting stock market returns
- Methodologies of knowledge discovery from data and data mining methods in mechanical engineering
- A data mining approach to modelling of water supply assets
- An incident information management framework based on data integration, data mining, and multi-criteria decision making
- Data mining for signals in spontaneous reporting databases: proceed with caution
- Literature review of data mining applications in academic libraries
- Forecasting fraudulent financial statements using data mining
- Data mining and knowledge discovery.
- Risk mining in medicine: Application of data mining to medical risk management
- Application of data mining techniques to model breast cancer data
- Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
- Time series feature extraction for data mining using DWT and DFT
- Mining patterns of events in students’ teamwork data
- Data mining techniques for wireless sensor networks: A survey
- A survey on graphic processing unit computing for large‐scale data mining
- Association rule hiding for data mining
- Shared memory parallelization of data mining algorithms: Techniques, programming interface, and performance
- Effective counterterrorism and the limited role of predictive data mining
- Tada-ed for educational data mining
- A novel approach for breast cancer detection using data mining techniques
- Data mining technology for the evaluation of web-based teaching and learning systems
- Educational data mining applications and tasks: A survey of the last 10 years
- Predicting going concern opinion with data mining
- Assessment of the risk factors of coronary heart events based on data mining with decision trees
- Data mining and text mining technologies for collaborative learning in an ILMS” Ssamurai”
- Ontology of core data mining entities
- A data mining system for infection control surveillance
- Demon: Mining and monitoring evolving data
- Evolving limitations in K-means algorithm in data mining and their removal
- Mapping student’s performance based on data mining approach (a case study)
- Adaptive regression and model selection in data mining problems
- Data mining research: Opportunities and challenges
- A comparative study of data mining algorithms for network intrusion detection
- Developing an approach to evaluate stocks by forecasting effective features with data mining methods
- Data mining in metric space: an empirical analysis of supervised learning performance criteria
- Big data, mining, and analytics: components of strategic decision making
- Turning telecommunications call details to churn prediction: a data mining approach
- Data mining in cancer research [application notes]
- A survey of data mining techniques on risk prediction: Heart disease
- Predicting school failure and dropout by using data mining techniques
- A study on feature selection techniques in educational data mining
- Formal concept analysis for knowledge discovery and data mining: The new challenges
- A data mining framework to analyze road accident data
- Proactive data mining using decision trees
- A process for mining science & technology documents databases, illustrated for the case of” knowledge discovery and data mining”
- Going concern prediction using data mining techniques
- Curation by code: Infomediaries and the data mining of taste
- Data mining
- A hybrid approach of neural network and memory-based learning to data mining
- Data mining of the public version of the FDA Adverse Event Reporting System
- Data mining techniques for cancer detection using serum proteomic profiling
- Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
- A data-mining model for protection of FACTS-based transmission line
- A review of financial accounting fraud detection based on data mining techniques
- A study of data mining tools in knowledge discovery process
- Performance analysis of data mining classification techniques to predict diabetes
- Framework for efficient feature selection in genetic algorithm based data mining
- Trade-off between computation time and number of rules for fuzzy mining from quantitative data
- Data mining methods for the content analyst: An introduction to the computational analysis of content
- Performance analysis and prediction in educational data mining: A research travelogue
- Using Meta-Learning to Support Data Mining.
- Data mining: Concepts, methods and applications in management and engineering design
- Data mining in personalizing distance education courses
- Determination of factors influencing the achievement of the first-year university students using data mining methods
- Data mining meets performance evaluation: Fast algorithms for modeling bursty traffic
- Data mining on imbalanced data sets
- Data mining et statistique décisionnelle: l’intelligence des données
- Konsep data mining vs sistem pendukung keputusan
- Data Mining (Datenmustererkennung)
- Технологии анализа данных: Data Mining, Text Mining, Visual Mining, OLAP. 2 изд.
- Preâmbulo [a]” Data mining: descoberta de conhecimento em bases de dados”
- Assoziationsregeln–Analyse eines Data Mining Verfahrens
- Conceitos e aplicações de data mining
- Data mining im praktischen Einsatz
- Analisi dei dati e data mining per le decisioni aziendali
- Методы и модели анализа данных: OLAP и Data Mining
- Analisi dei dati e data mining
- Data Mining in der Medizin und Medizintechnik
- Классификация, регрессия и другие алгоритмы Data Mining с использованием R
- Orange: Data mining fruitful and fun-a historical perspective
- Data warehouse & data mining
- Data Mining: Klasifikasi Menggunakan Algoritma C4. 5

# Research Topics Computer Science

**Topic Covered**

Top 10 research topics of Data Mining | list of research topics of Data Mining | trending research topics of Data Mining | research topics for dissertation in Data Mining | dissertation topics of Data Mining in pdf | dissertation topics in Data Mining | research area of interest Data Mining | example of research paper topics in Data Mining | top 10 research thesis topics of Data Mining | list of research thesis topics of Data Mining| trending research thesis topics of Data Mining | research thesis topics for dissertation in Data Mining | thesis topics of Data Mining in pdf | thesis topics in Data Mining | examples of thesis topics of Data Mining | PhD research topics examples of Data Mining | PhD research topics in Data Mining | PhD research topics in computer science | PhD research topics in software engineering | PhD research topics in information technology | Masters (MS) research topics in computer science | Masters (MS) research topics in software engineering | Masters (MS) research topics in information technology | Masters (MS) thesis topics in Data Mining.