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

Midterm Exam 40 marks
Final Exam 60 marks
Total 100 marks

Top of the page

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

Top of the page

[Indian Statistical Institute]