Data Mining

Concepts, Models and Techniques

  • Florin Gorunescu

Part of the Intelligent Systems Reference Library book series (ISRL, volume 12)

Table of contents

  1. Front Matter
  2. Florin Gorunescu
    Pages 1-43
  3. Florin Gorunescu
    Pages 45-56
  4. Florin Gorunescu
    Pages 57-157
  5. Florin Gorunescu
    Pages 159-183
  6. Florin Gorunescu
    Pages 185-317
  7. Florin Gorunescu
    Pages 319-330
  8. Back Matter

About this book

Introduction

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.

Keywords

Computational Intelligence Data Mining Intelligent System

Authors and affiliations

  • Florin Gorunescu
    • 1
  1. 1.Dept. Mathematics & InformaticsUniversity of CraiovaCraiovaRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19721-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-19720-8
  • Online ISBN 978-3-642-19721-5
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • About this book