E Book

Data Mining with Computational Intelligence

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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.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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

Berlin, Heidelberg : Springer., 2005

Deskripsi Fisik

XI, 276 p.online resource.

Bahasa

English

ISBN/ISSN

9783540288039

Klasifikasi

006.312

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1st ed.

Subjek

Artificial intelligence.
Data mining.
Data Mining and Knowledge Discovery.
Database management.

Info Detail Spesifik

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Pernyataan Tanggungjawab

Lipo Wang, Xiuju Fu.

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