Predictive Data Mining A Practical Guide(1st Edition)
Authors:
Sholom M Weiss ,Nitin Indurkhya
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Book details
ISBN: B000APHRW4, 978-1558604032
Book publisher: Morgan Kaufmann
Book Price $0 : 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.
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