Hybrid computational models for the characterization of oil and gas reservoirs
Expert Systems with Applications: An International Journal
Generalized external indexes for comparing data partitions with overlapping categories
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
General framework for class-specific feature selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An efficient multiple-kernel learning for pattern classification
Expert Systems with Applications: An International Journal
A hybrid intelligent system for medical data classification
Expert Systems with Applications: An International Journal
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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.