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

Weiss, Sholom M.

Softcover

ISBN 10: 1558604030 ISBN 13: 9781558604032

Verlag: Morgan Kaufmann Publishers Inc., 1997

Inhaltsangabe

Book by Weiss Sholom M Indurkhya Nitin

Über diesen Titel

Críticas

"I enjoy reading PREDICTIVE DATA MINING. It presents an excellent perspective on the theory and practice of data mining. It can help educate statisticians to build alliances between statisticians and
data miners."
--Emanuel Parzen, Distinguished Professor of Statistics, Texas A&M University

Reseña del editor

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.

Details zur Ausgabe

• Verlag: Morgan Kaufmann Publishers Inc.
• Erscheinungsdatum: 1997
• ISBN 10: 1558604030
• ISBN 13: 9781558604032
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 244