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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.
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.
Recent research trends in feature selection for data and pattern recognition
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
Presents approaches in feature selection for data and pattern classification using computational intelligence paradigms
Includes supplementary material: [...]
| Erscheinungsjahr: | 2015 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xviii
355 S. 54 s/w Illustr. 20 farbige Illustr. 355 p. 74 illus. 20 illus. in color. |
| ISBN-13: | 9783662456194 |
| ISBN-10: | 3662456192 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-662-45619-4 |
| Einband: | Gebunden |
| Autor: |
Stanczyk, Urszula
Jain, Lakhmi C. |
| Redaktion: |
Jain, Lakhmi C.
Sta¿czyk, Urszula |
| Herausgeber: | Urszula Stanczyk/Lakhmi C Jain |
| Hersteller: |
Springer Berlin
Springer Berlin Heidelberg |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 26 mm |
| Von/Mit: | Lakhmi C. Jain (u. a.) |
| Erscheinungsdatum: | 15.01.2015 |
| Gewicht: | 0,729 kg |
Recent research trends in feature selection for data and pattern recognition
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
Presents approaches in feature selection for data and pattern classification using computational intelligence paradigms
Includes supplementary material: [...]
| Erscheinungsjahr: | 2015 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xviii
355 S. 54 s/w Illustr. 20 farbige Illustr. 355 p. 74 illus. 20 illus. in color. |
| ISBN-13: | 9783662456194 |
| ISBN-10: | 3662456192 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-662-45619-4 |
| Einband: | Gebunden |
| Autor: |
Stanczyk, Urszula
Jain, Lakhmi C. |
| Redaktion: |
Jain, Lakhmi C.
Sta¿czyk, Urszula |
| Herausgeber: | Urszula Stanczyk/Lakhmi C Jain |
| Hersteller: |
Springer Berlin
Springer Berlin Heidelberg |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 26 mm |
| Von/Mit: | Lakhmi C. Jain (u. a.) |
| Erscheinungsdatum: | 15.01.2015 |
| Gewicht: | 0,729 kg |
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