Outline of Syllabus
BE6-R4:-Data Warehousing and Data Mining
Topic
Duration (Hrs)
1
Introduction and Background
06
2
Data Warehousing and OLAP
11
3
Data Mining Primitives
05
4
Concept Description: Characterization and Comparison
06
5
Association Analysis
06
6
Classification and Predictions
08
7
Cluster Analysis
06
8
Mining Complex Types of Data
09
9
Application of Data Warehousing and Data Mining
03
Lecture =60
Practical =60
Total class =120
Practical =60
Total class =120
BOOKS RECOMMENDED FOR READING AND REFERENCE
MAIN READING
- JData Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) Jiawei Han and Micheline Kamber, ISBN-10: 1558609016 ISBN-13: 978-1558609013; 2005
SUPPLEMENTARY READING
- Arun K Pujari, "Data Mining Techniques" ISBN; 8173713804; ISBN-13: 9788173713804;978-8173713804; Universities Press.
- M. Jarke, M. Lenzerni, Y. Vassiliou, and P. Vassiladis, "Fundamentals of Data Warehouses, 1st edition"; Year of Publication: 1999 ISBN:3540653651 Springer- Verlag New York, Inc. Secaucus, NJ, USA.