Data Mining

A Knowledge Discovery Approach

  • Krzysztof J. Cios
  • Roman W. Swiniarski
  • Witold Pedrycz
  • Lukasz A. Kurgan

Table of contents

  1. Front Matter
    Pages I-XV
  2. Data Mining and Knowledge Discovery Process

    1. Front Matter
      Pages 1-1
    2. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 3-7
    3. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 9-24
  3. Data Understanding

    1. Front Matter
      Pages 25-25
    2. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 27-47
    3. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 49-67
    4. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 69-91
  4. Data Preprocessing

    1. Front Matter
      Pages 93-93
    2. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 95-131
    3. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 133-233
    4. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 235-254
  5. Data Mining: Methods for Constructing Data Models

    1. Front Matter
      Pages 255-255
    2. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 257-288
    3. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 289-306
    4. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 307-379
    5. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 381-417
    6. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 419-451
    7. Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
      Pages 453-465
  6. Data Models Assessment

    1. Front Matter
      Pages 467-467

About this book

Introduction

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.

Based upon the authors’ previous successful book on data mining and knowledge discovery, this new volume has been extensively expanded, making it an effective instructional tool for advanced-level undergraduate and graduate courses. This book offers:

  • A suite of exercises at the end of every chapter, designed to enhance the reader’s understanding of the theory and proficiency with the tools presented

  • Links to all-inclusive instructional presentations for each chapter to ensure easy use in classroom teaching

  • Extensive appendices covering relevant mathematical material for convenient look-up

  • Methods for addressing issues related to data privacy and security within the context of data mining, enabling the reader to balance potentially conflicting aims

  • Summaries and bibliographical notes for each chapter, providing a broader perspective of the concepts and methods described

Researchers, practitioners and students are certain to consider this volume an indispensable resource in successfully accomplishing the goals of their data mining projects.

 

 

Keywords

DOM LA OLAP algorithms classification data mining data security data warehouse knowledge discovery knowledge representation learning supervised learning tools unsupervised learning

Authors and affiliations

  • Krzysztof J. Cios
    • 1
    • 2
  • Roman W. Swiniarski
    • 3
  • Witold Pedrycz
    • 4
  • Lukasz A. Kurgan
    • 5
  1. 1.Computer Science DeptVirginia Commonwealth UniversityRichmond
  2. 2.University of ColoradoUSA
  3. 3.Computer Science DeptSan Diego State University & Polish Academy of SciencesSan DiegoUSA
  4. 4.Electrical and Computer Engineering DeptUniversity of AlbertaEdmontonCanada
  5. 5.Electrical and Computer Engineering DeptUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-36795-8
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-33333-5
  • Online ISBN 978-0-387-36795-8
  • About this book