Data Mining And Warehousing

Description:
The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, diagrams are given extensively throughout the text. The book discusses design issues for phases of mining in substantial depth. The stress is more on problem solving.
Various Comprehensive coverage of various aspects of Data Mining and Warehousing concepts
Strictly in accordance for the syllabus covered under B.E./B.Tech/MCA
Simple language, crystal clear approach, straight forward comprehensible presentation
Adopting user friendly classroom lecture style
The concepts are duly supported by sever examples
Syllabus coverage of three universities UPTU, RTU and RGPV
Table Of Contents:
Chapter 1 : Introduction To Data Mining
Chapter 2 : Concept Description
Chapter 3 : Association Rule Mining
Chapter 4 : Classification and Predictions
Chapter 5 : Cluster Analysis
Chapter 6 : Introduction to Data Warehouse
Chapter 7 : OLAP Technology
Chapter 8 : Advance Topic On Data Mining and Warehousing