Data Mining with Computational Intelligence

  • Lipo Wang
  • Xiuju Fu

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

About this book

Introduction

Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others.

Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction.

The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.

Keywords

Computational Intelligence Data Classification Data Clustering Data Dimensionality Reduction Data Mining Fuzzy Rule Extraction Support Vector Machine Support Vector Machines algorithms artificial intelligence bioinformatics classification intelligence learning

Authors and affiliations

  • Lipo Wang
    • 1
  • Xiuju Fu
    • 2
  1. 1.School of Electrical and Electronical EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.Institute of High Performance Computing, Software and ComputingSingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-28803-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-24522-3
  • Online ISBN 978-3-540-28803-9
  • About this book