Data Mining

Description

Data Mining deals with discovering hidden data and unexpected patterns and rules in large databases. It can bring significant gains to organizations, for example, through better-targeted marketing and enhanced internal performance. This is the first book to offer a comprehensive introduction to data mining. Its aim is to provide essential insights and guidelines to help you make the right decisions when setting up a data mining environment. It offers clear answers to questions such as:

• What is Data mining?
• Which techniques are suitable for my data?
• How do I set up a data mining environment?
• How do I justify the costs?

The whole data mining process, including data selection, cleaning, coding, different pattern recognition techniques and reporting is illustrated by means of an extensive case study and numerous examples.

Table of Contents

• Introduction
• What is Learning?
• Data Mining and the Data Warehouse
• The Knowledge Discovery Process
• Setting Up a KDD Environment
• Some Real-life Applications
• Some Formal Aspects of Learning Algorithms

Authors Biography

Pieter Adriaans is a director of Syllogic, where he is responsible for the development of tools for the management of client/server systems and databases.

Dolf Zantinge has broad experience in setting up large client/server projects. He is also a director of Syllogi.