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Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems),Used
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The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major datamining systems need concrete information about the underlying technical principlesand their practical manifestationsin order to either integrate commercially available tools or write datamining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing datamining applications, together with advice on performing these largescale, openended analyses for realworld data warehouses.Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1558604774 to order the accompanying software. To order the book/software package, please see ISBN 1558604782.+ 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 datamining process and its potential pitfalls through reallife case studies.
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