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.