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Advances in knowledge discovery and ...

(1998 :)

Advances in knowledge discovery and data mining20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings.Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in knowledge discovery and data miningedited by James Bailey ... [et al.].
其他題名:	20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings.
其他題名:	PAKDD 2016
其他作者:	Bailey, James.
團體作者:
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xxiv, 572 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data miningCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-31750-2
ISBN:	9783319317502$q(electronic bk.)

Advances in knowledge discovery and data mining20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings.Part II /
Advances in knowledge discovery and data mining20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings.Part II /[electronic resource] :PAKDD 2016edited by James Bailey ... [et al.]. - Cham :Springer International Publishing :2016. - xxiv, 572 p. :ill., digital ;24 cm. - Lecture notes in computer science,96520302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783319317502$q(electronic bk.)

Standard No.: 10.1007/978-3-319-31750-2doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and data mining20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings.Part II /
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