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© 2011

Data Mining

Concepts, Models and Techniques

Benefits

  • A self-contained introduction to Data Mining

  • Present the concepts, models and techniques for date mining in a well organized style

  • Written by an expert in this field

Book

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

  1. 1.Dept. Mathematics & InformaticsUniversity of CraiovaCraiovaRomania

Bibliographic information

  • Book Title Data Mining
  • Book Subtitle Concepts, Models and Techniques
  • Authors Florin Gorunescu
  • Series Title Intelligent Systems Reference Library
  • 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 Engineering (R0)
  • Hardcover ISBN 978-3-642-19720-8
  • Softcover ISBN 978-3-642-26773-4
  • eBook ISBN 978-3-642-19721-5
  • Series ISSN 1868-4394
  • Series E-ISSN 1868-4408
  • Edition Number 1
  • Number of Pages XII, 360
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Additional Information Extended and updated translation from the original Romanian edition published by Editura Albastra (Blue Publishing House) Cluj-Napoca, Romania, ISBN 973-650-169-8, 2006.
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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Reviews

From the reviews:

“Provides a gentle introduction to a fascinating and emerging research area. … provide an easy-to-read ‘compass’ to lead readers though the basic principles. … material presented is comprehensive and covers every aspect of data mining. … Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations … . bibliography will help those interested in obtaining further information on the topic. This book is ideal for students … . Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students.” (J. Y. Cheung, Choice, Vol. 49 (4), December, 2011)