Real-Time Business Intelligence & Frequent Pattern Mining Algorithm: Timely Consistent Analysis Using Real-Time Data Warehouse Environment and Improving Efficiency of Apriori Algorithm - Softcover

Tank, Darshan

Softcover

ISBN 10: 3847338129 ISBN 13: 9783847338123

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

In the competitive world of business, the survival of a company depends on how fast they are able to recognize changing business dynamics and challenges, and respond correctly and quickly. Companies must also anticipate trends, identify new opportunities and transform their strategy to stay ahead of the competition. Companies collect significant volumes of data. They need the ability to transform this raw data to actionable information by capturing, consolidating, organizing, storing, distributing, analyzing, and providing quick and easy access to it. Decision makers need up-to-date information to make timely and sound business decisions. A real-time data warehouse aims at decreasing the time it takes to make business decisions and tries to attain zero latency between the cause and effect of a business decision. Mining association rules involves a lot of memory and CPU costs. In this book, I present a new algorithm for mining frequent itemsets which will decrease CPU cost and increase efficiency. This book presents a new data integration approach to help a company create knowledge from information to enable better decision making and to convert those decisions into action.

About this title

About the Author

Darshan Tank received his M.Tech. in Computer from DDU, Nadiad in 2009. He has published research papers in International Conferences and Journals. His areas of interest include Dynamic Warehouse, Real-Time Data Integration and Business Intelligence. He is presently working as Lecturer in Information Technology Dept at L E College, Gujarat, India.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3847338129
• ISBN 13: 9783847338123
• Binding: Paperback
• Number of pages: 128