Data Warehousing OLAP and Data Mining

by

About the Book: This book is mainly intended for IT students and professionals to learn or implement data warehousing technologies. It experiences the real-time environment and promotes planning, managing, designing, implementing, supporting, maintaining and analyzing data warehouse in organizations and it also provides various mining techniques as well as issues in practical use of Data Mining Tools. The book is designed for the target audience such as specialists, trainers and IT users. It does not assume any special knowledge as background. Understanding of computer use, databases and statistics will be helpful. Contents: VOLUME I: DATA WAREHOUSING IMPLEMENTATION AND OLAP PART I: INTRODUCTION The Enterprise IT Architecture Data Warehouse Concepts PART II: PEOPLE The Project Sponsor The CIO The Project Manager PART III: PROCESS Warehousing Strategy Warehouse Management and Support Processes Data Warehouse Planning Data Warehouse Implementation PART IV: TECHNOLOGY Hardware and Operating Systems Warehousing Software Warehouse Schema Design Warehouse Metadata Warehousing Applications PART V: MAINTENANCE, EVOLUTION AND TRENDS Warehouse Maintenance and Evolution Warehousing Trends PART VI: ON-LINE ANALYTICAL PROCESSING Introduction OLAP Application VOLUME II: DATA MINING Introduction Data Mining with Decision Trees Data Mining with Association Rules Automatic Clustering Detection Data Mining with Neural Network
  • New Age International Pvt. Ltd., Publishers; September 2006
  • ISBN 9788122427059
  • Read online, or download in secure PDF format
  • Title: Data Warehousing OLAP and Data Mining
  • Author: S. Nagabhushana
  • Imprint: New Age International