Data Mining with Computational Intelligence

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...

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Bibliographic Details
Main Authors: Wang, Lipo, Fu, Xiuju (Author)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005, 2005
Edition:1st ed. 2005
Series:Advanced Information and Knowledge Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • MLP Neural Networks for Time-Series Prediction and Classification
  • Fuzzy Neural Networks for Bioinformatics
  • An Improved RBF Neural Network Classifier
  • Attribute Importance Ranking for Data Dimensionality Reduction
  • Genetic Algorithms for Class-Dependent Feature Selection
  • Rule Extraction from RBF Neural Networks
  • A Hybrid Neural Network For Protein Secondary Structure Prediction
  • Support Vector Machines for Prediction
  • Rule Extraction from Support Vector Machines