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Feature Extraction, Construction and Selection - A Data Mining Perspective (Paperback, Softcover reprint of the original 1st ed. 1998)
Loot Price: R5,746
Discovery Miles 57 460
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Feature Extraction, Construction and Selection - A Data Mining Perspective (Paperback, Softcover reprint of the original 1st ed. 1998)
Series: The Springer International Series in Engineering and Computer Science, 453
Expected to ship within 10 - 15 working days
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There is broad interest in feature extraction, construction, and
selection among practitioners from statistics, pattern recognition,
and data mining to machine learning. Data preprocessing is an
essential step in the knowledge discovery process for real-world
applications. This book compiles contributions from many leading
and active researchers in this growing field and paints a picture
of the state-of-art techniques that can boost the capabilities of
many existing data mining tools. The objective of this collection
is to increase the awareness of the data mining community about the
research of feature extraction, construction and selection, which
are currently conducted mainly in isolation. This book is part of
our endeavor to produce a contemporary overview of modern
solutions, to create synergy among these seemingly different
branches, and to pave the way for developing meta-systems and novel
approaches. Even with today's advanced computer technologies,
discovering knowledge from data can still be fiendishly hard due to
the characteristics of the computer generated data. Feature
extraction, construction and selection are a set of techniques that
transform and simplify data so as to make data mining tasks easier.
Feature construction and selection can be viewed as two sides of
the representation problem.
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