Advances in Knowledge Discovery and Data Mining
20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
(Sprache: Englisch)
This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016.The 91 full papers were...
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Klappentext zu „Advances in Knowledge Discovery and Data Mining “
This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016.The 91 full papers were carefully reviewed andselected from 307 submissions. They are organized in topical sections named:classification; machine learning; applications; novel methods and algorithms;opinion mining and sentiment analysis; clustering; feature extraction andpattern mining; graph and network data; spatiotemporal and image data; anomalydetection and clustering; novel models and algorithms; and text mining andrecommender systems.Inhaltsverzeichnis zu „Advances in Knowledge Discovery and Data Mining “
Classification.- Machine learning.- Applications.- Novel methods and algorithms.- Opinion mining and sentiment analysis.- Clustering.- Feature extraction and pattern mining.- Graph and network data.- Spatiotemporal and image data.- Anomaly detection and clustering.- Novel models and algorithms.- Text mining and recommender systems.
Bibliographische Angaben
- 2016, 1st ed. 2016, XXIV, 608 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Latifur Khan, James Bailey, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang
- Verlag: Springer, Berlin
- ISBN-10: 3319317520
- ISBN-13: 9783319317526
- Erscheinungsdatum: 19.05.2016
Sprache:
Englisch
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