Data Mining with Computational Intelligence

• Main Authors: Wang, Lipo (Author), Fu, Xiuju (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Database management.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Database Management.; Artificial Intelligence (incl. Robotics).

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...

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.