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082 0 4 _a006.312
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245 1 0 _aMachine Learning and Knowledge Discovery in Databases
_h[electronic resource] :
_bEuropean Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II /
_cedited by Peter A. Flach, Tijl De Bie, Nello Cristianini.
250 _a1st ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXXVI, 867 p. 245 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7524
505 0 _aPrivacy and security -- rankings and recommendations -- reinforcement learning and planning -- rule mining and subgroup discovery -- semi-supervised and transductive learning -- sensor data -- sequence and string mining -- social network mining -- spatial and geographical data mining -- statistical methods and evaluation -- time series and temporal data mining -- transfer learning.
520 _aThis two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aDiscrete mathematics.
_912873
650 0 _aMathematical statistics.
_99597
650 0 _aInformation storage and retrieval systems.
_922213
650 1 4 _aData Mining and Knowledge Discovery.
_9144372
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aDiscrete Mathematics in Computer Science.
_931837
650 2 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aInformation Storage and Retrieval.
_923927
700 1 _aFlach, Peter A.
_eeditor.
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_9144373
700 1 _aDe Bie, Tijl.
_eeditor.
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_9144374
700 1 _aCristianini, Nello.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9144375
710 2 _aSpringerLink (Online service)
_9144376
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783642334870
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7524
_9144377
856 4 0 _uhttps://doi.org/10.1007/978-3-642-33486-3
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