Data Mining: Concepts, Models and Techniques

✍ Scribed by Florin Gorunescu (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 370
• Series: Intelligent Systems Reference Library 12
• Edition: 1
• Category: Library

✦ Synopsis

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.

✦ Table of Contents

Front Matter....Pages -
Introduction to Data Mining....Pages 1-43
The “Data-Mine”....Pages 45-56
Exploratory Data Analysis....Pages 57-157
Classification and Decision Trees....Pages 159-183
Data Mining Techniques and Models....Pages 185-317
Classification Performance Evaluation....Pages 319-330
Back Matter....Pages -

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)