Innovative Applications in Data Mining

  • Nadia Nedjah
  • Luiza de Macedo Mourelle
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 169)

Table of contents

  1. Front Matter
  2. Denise N. Rotondi Azevedo, José M. Parente de Oliveira
    Pages 1-15
  3. Rommel N. Carvalho, Marcelo Ladeira, Laécio L. Santos, Shou Matsumoto, Paulo Cesar G. Costa
    Pages 17-45
  4. Celso Y. Ishida, Aurora Pozo, Elizabeth Goldbarg, Marco Goldbarg
    Pages 47-70
  5. Alzennyr da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de Carvalho
    Pages 71-82
  6. Vasudha Bhatnagar, Sarabjeet Kochhar
    Pages 83-105
  7. Yomara Pires, Jefferson Morais, Claudomir Cardoso, Aldebaro Klautau
    Pages 107-122
  8. Back Matter

About this book

Introduction

Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets.

This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book.

Keywords

algorithm classification clustering computational intelligence data mining intelligence knowledge linear optimization multi-objective optimization optimization semantic web

Editors and affiliations

  • Nadia Nedjah
    • 1
  • Luiza de Macedo Mourelle
    • 1
  • Janusz Kacprzyk
    • 2
  1. 1.Universidade do Estado do Rio de JaneiroBrazil
  2. 2.Polish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-88045-5
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-88044-8
  • Online ISBN 978-3-540-88045-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book