Course Archives Documentation Research and Training Centre Unit
Course:Data & Text Mining
Instructor: Saroj Kumar Meher
Room: G21
Level: Postgraduate
Time: Currently offered
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:

Evaluation:
Midterm Exam 40 marks
Final Exam 60 marks
Total 100 marks


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Past Exams
Midterm
16.pdf 17.pdf
Semestral
16.pdf 17.pdf
Supplementary and Back Paper

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[Indian Statistical Institute]