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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Classification and Clustering for Knowledge Discovery (Paperback, Softcover reprint of hardcover 1st ed. 2005)
Loot Price: R4,249
Discovery Miles 42 490
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Classification and Clustering for Knowledge Discovery (Paperback, Softcover reprint of hardcover 1st ed. 2005)
Series: Studies in Computational Intelligence, 4
Expected to ship within 10 - 15 working days
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Knowledge Discovery today is a significant study and research area.
In finding answers to many research questions in this area, the
ultimate hope is that knowledge can be extracted from various forms
of data around us. This book covers recent advances in unsupervised
and supervised data analysis methods in Computational Intelligence
for knowledge discovery. In its first part the book provides a
collection of recent research on distributed clustering, self
organizing maps and their recent extensions. If labeled data or
data with known associations are available, we may be able to use
supervised data analysis methods, such as classifying neural
networks, fuzzy rule-based classifiers, and decision trees.
Therefore this book presents a collection of important methods of
supervised data analysis. "Classification and Clustering for
Knowledge Discovery" also includes variety of applications of
knowledge discovery in health, safety, commerce, mechatronics,
sensor networks, and telecommunications.
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