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DOMAIN: Data Mining

               Data Mining

     Generally, Data Mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.


Identify successful medical therapies, Predict office visits, Stock and investment analysis, Predict customer spending, Mailing campaigns, Biochemical analysis, Microarray gene expression.

                Project Titles

  • Online Index Recommendations for High-Dimensional Databases Using Query Workloads
  • An Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis
  • An Approach for Real-Time Database Modeling and Performance Management
  • Efficient Approximate Query Processing in Peer-to-Peer Networks
  • Truth Discovery with Multiple Conflicting Information Providers on the Web
  • C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in ultiattribute Transactional Datas
  • Ranking and Suggesting Popular Items
  • Associative Classification techniques for predicting e-banking publishing websites
  • Mining Association Rules Based on Cloud Model and Application in Credit Card Marketing
  • Virtual Database Technology for Distributed Database

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