Advances in Knowledge Discovery and Data Mining 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Bailey, James (Επιμελητής έκδοσης), Khan, Latifur (Επιμελητής έκδοσης), Washio, Takashi (Επιμελητής έκδοσης), Dobbie, Gill (Επιμελητής έκδοσης), Huang, Joshua Zhexue (Επιμελητής έκδοσης), Wang, Ruili (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Lecture Notes in Computer Science, 9652
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Advances in Knowledge Discovery and Data Mining  |h [electronic resource] :  |b 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II /  |c edited by James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 9652 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Database management. 
650 0 |a Data mining. 
650 0 |a Information storage and retrieval. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Information Systems Applications (incl. Internet). 
650 2 4 |a Database Management. 
700 1 |a Bailey, James.  |e editor. 
700 1 |a Khan, Latifur.  |e editor. 
700 1 |a Washio, Takashi.  |e editor. 
700 1 |a Dobbie, Gill.  |e editor. 
700 1 |a Huang, Joshua Zhexue.  |e editor. 
700 1 |a Wang, Ruili.  |e editor. 
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830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 9652 
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