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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.

Detalles Bibliográficos
Autores principales: Qin, Zengchang, Tang, Yongchuan
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/2136162
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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