Advances in Knowledge Discovery and Data Mining 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II - neues Buch

EAN (ISBN-13): 9783319066042
ISBN (ISBN-10): 3319066048
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2014
Herausgeber: Springer

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ISBN/EAN: 9783319066042

ISBN - alternative Schreibweisen:
3-319-06604-8, 978-3-319-06604-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hung, chen, tseng, kao, hua, zhou
Titel des Buches: proceedings, data mining, lecture notes computer science, hua, 2014, asia pacific, taiwan, zhou chen, knowledge discovery

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Daten vom Verlag:

Autor/in: Vincent S. Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L.P. Chen; Hung-Yu Kao
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
Verlag: Springer; Springer International Publishing
624 Seiten
Erscheinungsjahr: 2014-05-21
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXX, 624 p. 170 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Web and social media search; clustering and classification; data streaming; machine learning; neural networks; probabilistic reasoning; recommender systems; social networks; supervised learning; text classification; Data Mining and Knowledge Discovery; Artificial Intelligence; Information Storage and Retrieval; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; Informationsrückgewinnung, Information Retrieval; Data Warehousing; EA

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.