Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)

Weiss, Sholom M., Indurkhya, Nitin

ISBN 10: 1558604030 / ISBN 13: 9781558604032

Edité par Morgan Kaufmann, 1997

A propos de cet article

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00028474938

Détails bibliographiques

Titre : Predictive Data Mining: A Practical Guide (...

Éditeur : Morgan Kaufmann

Date d'édition : 1997

Reliure : Couverture souple

Etat : Good

A propos de ce titre

Synopsis :

Book by Weiss Sholom M Indurkhya Nitin

Présentation de l'éditeur:

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles―and their practical manifestations―in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.

Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.

+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.
+ Reviews sophisticated prediction methods that search for patterns in big data.
+ Describes how to accurately estimate future performance of proposed solutions.
+ Illustrates the data-mining process and its potential pitfalls through real-life case studies.