A Practical Guide to Data Mining for Business and Industry
- 4h 43m
- Andrea Ahlemeyer-Stubbe, Shirley Coleman
- John Wiley & Sons (UK)
- 2014
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.
In this Book
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Glossary of Terms
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Introduction
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Data Mining Definition
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All about Data
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Data Preparation
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Analytics
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Methods
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Validation and Application
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Marketing—Prediction
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Intra-Customer Analysis
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Learning from a Small Testing Sample and Prediction
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Miscellaneous
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Software and Tools—A Quick Guide
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Overviews
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Bibliography
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