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Feature Selection for Data and Pattern Recognition -

Feature Selection for Data and Pattern Recognition

Buch | Softcover
XVIII, 355 Seiten
2016 | Softcover reprint of the original 1st ed. 2015
Springer Berlin (Verlag)
978-3-662-50845-9 (ISBN)
CHF 239,65 inkl. MwSt
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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.

Feature Selection for Data and Pattern Recogniton: an Introduction.- Part I Estimation of Feature Importance.- Part II Rough Set Approach to Attribute Reduction.- Part III Rule Discovery and Evaluation.- Part IV Data- and Domain-oriented Methodologies.

"The content of the book is outstanding from the point of view of the novelty of the exposed methods, the clarity of the discourse, and the variety of the illustrative examples. ... The book is aimed at researchers and practitioners in the domains of machine learning, computer science, data mining, statistical pattern recognition, and bioinformatics." (L. State, Computing Reviews, June, 2015)

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XVIII, 355 p. 74 illus., 20 illus. in color.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 568 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • Data Recognition • Engineering • Engineering: general • Feature Selection • Intelligent Systems • pattern recognition • Robotics
ISBN-10 3-662-50845-1 / 3662508451
ISBN-13 978-3-662-50845-9 / 9783662508459
Zustand Neuware
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