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020 _a9783642412516
_9978-3-642-41251-6
024 7 _a10.1007/978-3-642-41251-6
_2doi
035 _ato000544813
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
100 1 _aQin, Zengchang.
_eauthor.
_9416988
245 1 0 _aUncertainty Modeling for Data Mining
_helectronic resource
_bA Label Semantics Approach /
_cby Zengchang Qin, Yongchuan Tang.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXIX, 291 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvanced Topics in Science and Technology in China,
_x1995-6819
520 _aMachine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning.   Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.
650 0 _aComputer Science.
_9155490
650 0 _aInformation systems.
_9303226
650 0 _aData mining.
_9306371
650 0 _aArtificial intelligence.
_9274099
650 1 4 _aComputer Science.
_9155490
650 2 4 _aData Mining and Knowledge Discovery.
_9306372
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aInformation Systems and Communication Service.
_9304271
650 2 4 _aMath Applications in Computer Science.
_9303284
700 1 _aTang, Yongchuan.
_eauthor.
_9452279
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aAdvanced Topics in Science and Technology in China,
_9566529
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-41251-6
912 _aZDB-2-SCS
999 _c402333