This research book provides the reader with a selection of
high-quality texts dedicated to current progress, new developments
and research trends in feature selection for data and pattern
recognition. Even though it has been the subject of interest for
some time, feature selection remains one of actively pursued
avenues of investigations due to its importance and bearing upon
other problems and tasks. This volume points to a number of
advances topically subdivided into four parts: estimation of
importance of characteristic features, their relevance,
dependencies, weighting and ranking; rough set approach to
attribute reduction with focus on relative reducts; construction of
rules and their evaluation; and data- and domain-oriented
methodologies.
General
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