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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.
List of contents
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.
Summary
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.
