Beschreibung

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.

Includes supplementary material: sn.pub/extras

Klappentext

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.

Inhalt
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.

Produktinformationen

Titel:	Advances in Knowledge Discovery and Data Mining
Untertitel:	20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
Editor:	James Bailey   Latifur Khan   Ruili Wang   Gill Dobbie   Joshua Zhexue Huang   Takashi Washio
EAN:	9783319317526
ISBN:	3319317520
Format:	Kartonierter Einband
Herausgeber:	Springer International Publishing
Genre:	Informatik
Anzahl Seiten:	632
Gewicht:	943g
Größe:	H235mm x B155mm x T33mm
Jahr:	2016
Untertitel:	Englisch
Auflage:	1st ed. 2016