Information-Statistical Data Mining

Bon K. Sy

ISBN 10: 1402076509 / ISBN 13: 9781402076503

Published by Springer, Springer Nov 2003, 2003

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.

Seller Inventory # 9781402076503

Bibliographic Details

• Title: Information-Statistical Data Mining
• Publisher: Springer, Springer Nov 2003
• Publication Date: 2003
• Language: English
• ISBN 10: 1402076509
• ISBN 13: 9781402076503
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 22D millimeters 241 millimeters width by 160 millimeters height by 22 millimeters depth
• Weight: 641 grams

About this title

Synopsis

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.