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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
R4,177 Discovery Miles 41 770 Ships in 18 - 22 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 (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
R4,017 Discovery Miles 40 170 Ships in 18 - 22 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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