Advances in Knowledge Discovery and Data Mining
Advances in Knowledge Discovery and Data Mining 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I / [recurso electrónico] :
edited by James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang.
- XXIV, 608 p. 184 illus. online resource.
- Lecture Notes in Computer Science, 9651 0302-9743 ; .
- Lecture Notes in Computer Science, 9651 .
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.
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.
9783319317533
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Artificial intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Artificial Intelligence (incl. Robotics).
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Database Management.
QA76.9.D343
006.312
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.
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.
9783319317533
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Artificial intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Artificial Intelligence (incl. Robotics).
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Database Management.
QA76.9.D343
006.312
