Course Archives Documentation Research and Training Centre Unit | ||||||||||
Course:Data & Text Mining Level: Postgraduate Time: Currently not offered |
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Syllabus Past Exams Syllabus: Data warehousing: Introduction, Definitions, Multi-dimensional data model. OLAP and OLAP Engine. Data Mining: Introduction, Definitions, KDD vs. DM, DBMS vs. DM, DM techniques, Issues and Challenges, Applications. Association rules: Introduction, Methods to discover association rules, Algorithms. Clustering techniques: Clustering paradigms, Partitioning algorithms, k-Medoid algorithms, Hierarchical clustering. Decision trees: Tree construction principle, Decision tree construction algorithm, Presorting. Web mining: Content, structure and usage mining, Text mining, Image and multimedia mining. Reference Texts: Top of the page Past Exams | ||||||||||
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[Indian Statistical Institute] |