Information-Statistical Data Mining

Sy, Bon K. (Queens College/City University of New York, USA); Gupta, Arjun K.

ISBN 10: 1402076509 / ISBN 13: 9781402076503

Edité par Kluwer Academic Publishers, 2003

A propos de cet article

Written to introduce basic concepts, advanced research techniques, and solutions of data warehousing and data mining for hosting large data sets and EDA, this book attempts to bridge statistics and information theory through a concept of patterns. It is aimed at a professional audience composed of researchers and practitioners in industry. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 311 pages, biography. BIC Classification: TGMD; UN. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156 x 19. Weight in Grams: 1370. . 2003. Hardback. . . . . Books ship from the US and Ireland.

N° de réf. du vendeur V9781402076503

Détails bibliographiques

• Titre: Information-Statistical Data Mining
• Éditeur: Kluwer Academic Publishers
• Date de parution: 2003
• Langue: anglais
• ISBN à 10 chiffres: 1402076509
• ISBN à 13 chiffres: 9781402076503
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

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.