Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data FROM THE PUBLISHER
Traditional statistical methods are limited in their ability to meet the modern challenge of mining large amounts of data. Data miners, analysts, and statisticians are searching for innovative new data mining techniques with greater predictive power, an attribute critical for reliable models and analyses. Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data delivers a collection of successful database marketing methodologies for big data. This compendium solves common database marketing problems by applying new hybrid modeling techniques that combine traditional statistical and new machine learning methods. The book delivers a thorough analysis of these cutting-edge techniques, which include non-statistical machine learning and genetic intelligent hybrid models.By following the step-by-step procedures detailed in the text, database marketing professionals can learn how to apply the proper statistical techniques to any database marketing challenge. The practical case studies and examples provided involve real problems and real data, and are taken from a variety of industries, including banking, insurance, finance, retail, and telecommunications.
SYNOPSIS
A consultant to the database marketing industry describes specific methods for solving the most commonly experienced problems encountered in the field. He also provides a background by discussing the basic methodologies of database analysis and modeling. Among the problems he addresses are variable assessment, response modeling, profit modeling, and market segment classification modeling. Annotation ©2003 Book News, Inc., Portland, OR
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