Nonlinear integrals and their applications in data mining:
Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2010
|
Schriftenreihe: | Advances in fuzzy systems
v. 24 |
Schlagworte: | |
Online-Zugang: | FHN01 Volltext |
Zusammenfassung: | Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area |
Beschreibung: | xviii, 340 p. ill. (some col.) |
ISBN: | 9789812814685 |
Internformat
MARC
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520 | |a Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area | ||
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Wang, Zhenyuan |
author_facet | Wang, Zhenyuan |
author_role | aut |
author_sort | Wang, Zhenyuan |
author_variant | z w zw |
building | Verbundindex |
bvnumber | BV044636419 |
classification_rvk | SK 130 SK 150 SK 640 |
collection | ZDB-124-WOP |
ctrlnum | (ZDB-124-WOP)00001039 (OCoLC)844957353 (DE-599)BVBBV044636419 |
dewey-full | 511.322 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 511 - General principles of mathematics |
dewey-raw | 511.322 |
dewey-search | 511.322 |
dewey-sort | 3511.322 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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id | DE-604.BV044636419 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:57:49Z |
institution | BVB |
isbn | 9789812814685 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030034390 |
oclc_num | 844957353 |
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owner_facet | DE-92 |
physical | xviii, 340 p. ill. (some col.) |
psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
publishDate | 2010 |
publishDateSearch | 2010 |
publishDateSort | 2010 |
publisher | World Scientific Pub. Co. |
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series2 | Advances in fuzzy systems |
spelling | Wang, Zhenyuan Verfasser aut Nonlinear integrals and their applications in data mining Zhenyuan Wang, Rong Yang, Kwong-Sak Leung Singapore World Scientific Pub. Co. c2010 xviii, 340 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier Advances in fuzzy systems v. 24 Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area Fuzzy sets Integrals Fuzzy logic Data mining Nichtlineare Integralgleichung (DE-588)4240925-1 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 s Nichtlineare Integralgleichung (DE-588)4240925-1 s Data Mining (DE-588)4428654-5 s 1\p DE-604 Yang, Rong Sonstige oth Leung, Kwong Sak 1955- Sonstige oth Erscheint auch als Druck-Ausgabe 9789812814678 Erscheint auch als Druck-Ausgabe 9812814671 http://www.worldscientific.com/worldscibooks/10.1142/6861#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Wang, Zhenyuan Nonlinear integrals and their applications in data mining Fuzzy sets Integrals Fuzzy logic Data mining Nichtlineare Integralgleichung (DE-588)4240925-1 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Data Mining (DE-588)4428654-5 gnd |
subject_GND | (DE-588)4240925-1 (DE-588)4341284-1 (DE-588)4428654-5 |
title | Nonlinear integrals and their applications in data mining |
title_auth | Nonlinear integrals and their applications in data mining |
title_exact_search | Nonlinear integrals and their applications in data mining |
title_full | Nonlinear integrals and their applications in data mining Zhenyuan Wang, Rong Yang, Kwong-Sak Leung |
title_fullStr | Nonlinear integrals and their applications in data mining Zhenyuan Wang, Rong Yang, Kwong-Sak Leung |
title_full_unstemmed | Nonlinear integrals and their applications in data mining Zhenyuan Wang, Rong Yang, Kwong-Sak Leung |
title_short | Nonlinear integrals and their applications in data mining |
title_sort | nonlinear integrals and their applications in data mining |
topic | Fuzzy sets Integrals Fuzzy logic Data mining Nichtlineare Integralgleichung (DE-588)4240925-1 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Data Mining (DE-588)4428654-5 gnd |
topic_facet | Fuzzy sets Integrals Fuzzy logic Data mining Nichtlineare Integralgleichung Fuzzy-Logik Data Mining |
url | http://www.worldscientific.com/worldscibooks/10.1142/6861#t=toc |
work_keys_str_mv | AT wangzhenyuan nonlinearintegralsandtheirapplicationsindatamining AT yangrong nonlinearintegralsandtheirapplicationsindatamining AT leungkwongsak nonlinearintegralsandtheirapplicationsindatamining |