A Practical Guide to Data Mining for Business and Industry

1 Introduction

Introduction

1. 1.1 Aims of the Book
2. 1.2 Data Mining Context
   1. 1.2.1 Domain Knowledge
   2. 1.2.2 Words to Remember
   3. 1.2.3 Associated Concepts
3. 1.3 Global Appeal
4. 1.4 Example Datasets Used in This Book
5. 1.5 Recipe Structure
6. 1.6 Further Reading and Resources

1.1 Aims of the Book

The power of data mining is a revelation to most companies. Data mining means extracting information from meaningful data derived from the mass of figures generated every moment in every part of our life. Working with data every day, we realise the satisfaction of unearthing patterns and meaning. This book is the result of detailed study of data and showcases the lessons learnt when dealing with data and using it to make things better. There are many tricks of the trade that help to ensure effective results. The statistical analysis involved in data mining has features that differentiate it from other types of statistics. These insights are presented in conjunction with background information in the context of typical scenarios where data mining can lead to important benefits in any business or industrial process.

A Practical Guide to Data Mining for Business and Industry:

• Is built on expertise from running consulting businesses.
• Is written in a practical style that aims to give tried and tested guidance to finding workable solutions to typical business problems.
• Offers solution patterns for common business problems that can be adapted by the reader to their particular area of interest. ...