A Practical Guide to Data Mining for Business and Industry

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.

Table of Contents

Part I Data Mining Concept
Chapter 1 Introduction
Chapter 2 Data mining definition

Part II Data Mining Practicalities
Chapter 3 All about data
Chapter 4 Data Preparation
Chapter 5 Analytics
Chapter 6 Methods
Chapter 7 Validation and application

Part III Data Mining in Action
Chapter 8 Marketing: Prediction
Chapter 9 Intra-Customer Analysis
Chapter 10 Learning from a Small Testing Sample and Prediction
Chapter 11 Miscellaneous
Chapter 12 Software and Tools : A Quick Guide
Chapter 13 Overviews