LEADER 04335nam  22008055  450 
001 9910484298403321
005 20251113173924.0
010   $a3-319-57454-X
024 7 $a10.1007/978-3-319-57454-7
035   $a(CKB)3850000000027405
035   $a(DE-He213)978-3-319-57454-7
035   $a(MiAaPQ)EBC6285529
035   $a(MiAaPQ)EBC5595057
035   $a(Au-PeEL)EBL5595057
035   $a(OCoLC)985359153
035   $a(PPN)200512587
035   $a(EXLCZ)993850000000027405
100   $a20170422d2017      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvances in Knowledge Discovery and Data Mining $e21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I /$fedited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XXXII, 841 p. 242 illus.)
225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10234
311 08$a3-319-57453-1 
327   $aClassification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction.
330   $aThis two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
410  0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10234
606   $aData mining
606   $aArtificial intelligence
606   $aInformation storage and retrieval systems
606   $aApplication software
606   $aDatabase management
606   $aData protection
606   $aData Mining and Knowledge Discovery
606   $aArtificial Intelligence
606   $aInformation Storage and Retrieval
606   $aComputer and Information Systems Applications
606   $aDatabase Management
606   $aData and Information Security
615  0$aData mining.
615  0$aArtificial intelligence.
615  0$aInformation storage and retrieval systems.
615  0$aApplication software.
615  0$aDatabase management.
615  0$aData protection.
615 14$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
615 24$aInformation Storage and Retrieval.
615 24$aComputer and Information Systems Applications.
615 24$aDatabase Management.
615 24$aData and Information Security.
676   $a006.3
702   $aKim$b Jinho$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aShim$b Kyuseok$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aCao$b Longbing$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLee$b Jae-Gil$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLin$b Xuemin$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMoon$b Yang-Sae$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484298403321
996   $aAdvances in Knowledge Discovery and Data Mining$9772012
997   $aUNINA