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Foundations of Computational Intelligence - Volume 6: Data Mining (Hardcover, 2009 ed.)
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Foundations of Computational Intelligence - Volume 6: Data Mining (Hardcover, 2009 ed.)
Series: Studies in Computational Intelligence, 206
Expected to ship within 12 - 17 working days
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Foundations of Computational Intelligence Volume 6: Data Mining:
Theoretical Foundations and Applications 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, business, health care, banking, retail, and many
others. Advanced representation schemes and computational
intelligence techniques such as rough sets, neural networks;
decision trees; fuzzy logic; evolutionary algorithms; arti- cial
immune systems; swarm intelligence; reinforcement learning,
association rule mining, Web intelligence paradigms etc. have
proved valuable when they are - plied to Data Mining problems.
Computational tools or solutions based on intel- gent systems are
being used with great success in Data Mining applications. It is
also observed that strong scientific advances have been made when
issues from different research areas are integrated. This Volume
comprises of 15 chapters including an overview chapter providing an
up-to-date and state-of-the research on the applications of
Computational Int- ligence techniques for Data Mining. The book is
divided into 3 parts: Part-I: Data Click Streams and Temporal Data
Mining Part-II: Text and Rule Mining Part-III: Applications Part I
on Data Click Streams and Temporal Data Mining contains four
chapters that describe several approaches in Data Click Streams and
Temporal Data Mining.
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