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Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I
Kategorie	Beschreibung
036a	XA-DE
037b	eng
087q	978-3-319-57453-0
100b	Kim, Jinho ¬[Hrsg.]¬
104b	Shim, Kyuseok ¬[Hrsg.]¬
108b	Cao, Longbing ¬[Hrsg.]¬
112b	Lee, Jae-gil ¬[Hrsg.]¬
116b	Lin, Xuemin ¬[Hrsg.]¬
120b	Moon, Yang-Sae ¬[Hrsg.]¬
331	Advances in Knowledge Discovery and Data Mining
335	21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I
410	Cham
412	Springer
425	2017
425a	2017
433	Online-Ressource (XXXII, 841 p. 242 illus, online resource)
451	Lecture Notes in Computer Science ; 10234
454	Lecture notes in computer science
455	10234
527	Druckausg.ISBN: 978-3-319-57453-0
527	Printed editionISBN: 978-3-319-57453-0
540a	ISBN 978-3-319-57454-7
700	\|UNF
700	\|UYQE
700	\|COM021030
700b	\|006.312
700c	\|QA76.9.D343
750	This 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
753	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
902s	212347217 Data Mining
902s	213563630 Wissensextraktion
902s	209556331 Datenanalyse
012	488874831
081	Advances in Knowledge Discovery and Data Mining
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-319-57454-7