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Uncertainty modeling for data mining: a label semantics approach
Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts.
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2014
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2136162 |
_version_ | 1780949959060750336 |
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author | Qin, Zengchang Tang, Yongchuan |
author_facet | Qin, Zengchang Tang, Yongchuan |
author_sort | Qin, Zengchang |
collection | CERN |
description | Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts. |
id | cern-2136162 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
spelling | cern-21361622021-04-21T19:46:43Zhttp://cds.cern.ch/record/2136162engQin, ZengchangTang, YongchuanUncertainty modeling for data mining: a label semantics approachComputing and ComputersOutlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts.Springeroai:cds.cern.ch:21361622014 |
spellingShingle | Computing and Computers Qin, Zengchang Tang, Yongchuan Uncertainty modeling for data mining: a label semantics approach |
title | Uncertainty modeling for data mining: a label semantics approach |
title_full | Uncertainty modeling for data mining: a label semantics approach |
title_fullStr | Uncertainty modeling for data mining: a label semantics approach |
title_full_unstemmed | Uncertainty modeling for data mining: a label semantics approach |
title_short | Uncertainty modeling for data mining: a label semantics approach |
title_sort | uncertainty modeling for data mining: a label semantics approach |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2136162 |
work_keys_str_mv | AT qinzengchang uncertaintymodelingfordataminingalabelsemanticsapproach AT tangyongchuan uncertaintymodelingfordataminingalabelsemanticsapproach |