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Book synopsis

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. This work: 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; and, illustrates the data-mining process and its potential pitfalls through real-life case studies.

Book details

Book category Books in English Computing & information technology Databases Data capture & analysis

• Full title: Predictive Data Mining
• Subtitle: A Practical Guide
• Author: Sholom M. Weiss, Nitin Indurkhya
• Language: English
• Binding: Paperback
• Number of pages: 228
• EAN: 9781558604032
• ISBN: 1558604030
• ID: 04809007
• Publisher: Morgan Kaufmann Publishers
• Weight: 364 g
• Dimensions: 230 × 152 × 13 mm
• Date of publishing: 08. December 1997

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