Feature Selection for Data and Pattern Recognition

Inbunden, Engelska, 2015

Del 584 i serien Studies in Computational Intelligence

1 944 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2015-01-15
Mått:155 x 235 x 26 mm
Vikt:729 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:355
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662456194

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Recensioner i media

"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)

Innehållsförteckning

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.