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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Wang, Lipo (Autor), Fu, Xiuju (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advanced Information and Knowledge Processing,
Temas:
Data mining.
Database management.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Database Management.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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