Description
This book has numerous features that make it a winner, The order of topics is very logical, The choice of topics is quite appropriate for a comprehensive introductory book. The subject matter is logically structured, with chapters covering essential components of the data mining and warehousing field. The sequence of topics is well planned to provide a seamless transition from design to implementation. Within each chapter, the continuity of topics is excellent. The figures appropriately enhance and amplify the topics. The exercises can be found at the end of each chapter.
Table of Contents
Chapter 1: Data Warehousing.
Chapter 2: Multidimensional Data Model.
Chapter 3: Data Warehousing Architecture.
Chapter 4: Online Analytical Processing.
Chapter 5: Data Warehouse Implementation.
Chapter 6: Data Warehouse Back-End tools And Utilities.
Chapter 7: Data Mining.
Chapter 8: Applications And Trends In Data Mining.
Author
Ikvinderpal Singh
Ikvinderpal Singh, is Lecturer of P.G. Deptt. Of Computer Science & Applications, Khalsa College, Amritsar which is a premier institute in North India. He obtained his MCA with distinction from Guru Nanak Dev University, Amritsar. He has always been excellence right from his student carrier. He has written five books. He brought name for himself when he topped the college in B.Sc. His other areas of interest include Fuzzy systems, digital electronics and java programming.
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