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Information-Statistical Data Mining - Warehouse Integration with Examples of Oracle Basics (Paperback, Softcover reprint of the... Information-Statistical Data Mining - Warehouse Integration with Examples of Oracle Basics (Paperback, Softcover reprint of the original 1st ed. 2004)
Bon K. Sy, Arjun K Gupta
R4,492 Discovery Miles 44 920 Ships in 10 - 15 working days

Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Information-Statistical Data Mining - Warehouse Integration with Examples of Oracle Basics (Hardcover, 2004 ed.): Bon K. Sy,... Information-Statistical Data Mining - Warehouse Integration with Examples of Oracle Basics (Hardcover, 2004 ed.)
Bon K. Sy, Arjun K Gupta
R4,679 Discovery Miles 46 790 Ships in 10 - 15 working days

Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns.
Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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