Advances in Knowledge Discovery and Data Mining (eBook, PDF)

20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
Redaktion: Bailey, James; Wang, Ruili; Huang, Joshua Zhexue; Dobbie, Gill; Washio, Takashi; Khan, Latifur

• Format: PDF

Produktbeschreibung

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.

The 91 full papers were carefully reviewed and selected 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 and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 608
• Erscheinungstermin: 11. April 2016
• Englisch
• ISBN-13: 9783319317533
• Artikelnr.: 46934716

Inhaltsangabe

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.