Predictive Data Mining - A Practical Guide (Paperback)

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."

General

Imprint:	Morgan Kaufmann Publishers In
Country of origin:	United States
Series:	The Morgan Kaufmann Series in Data Management Systems
Release date:	December 1997
First published:	August 1997
Authors:	Sholom M. Weiss • Nitin Indurkhya
Dimensions:	227 x 152 x 13mm (L x W x T)
Format:	Paperback
Pages:	228
ISBN-13:	978-1-55860-403-2
Categories:	Books > Computing & IT > Computer software packages > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Academic & Education > Professional & Technical > Data Management
LSN:	1-55860-403-0
Barcode:	9781558604032

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