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Advances in knowledge discovery and ...
~
(1998 :)
Advances in knowledge discovery and data mining21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.Part II /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in knowledge discovery and data miningedited by Jinho Kim ... [et al.].
Reminder of title:
21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.
remainder title:
PAKDD 2017
other author:
Kim, Jinho.
corporate name:
Published:
Cham :Springer International Publishing :2017.
Description:
xxxii, 857 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Data miningCongresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-57529-2
ISBN:
9783319575292$q(electronic bk.)
Advances in knowledge discovery and data mining21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.Part II /
Advances in knowledge discovery and data mining
21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.Part II /[electronic resource] :PAKDD 2017edited by Jinho Kim ... [et al.]. - Cham :Springer International Publishing :2017. - xxxii, 857 p. :ill., digital ;24 cm. - Lecture notes in computer science,102350302-9743 ;. - Lecture notes in computer science ;4891..
Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction.
This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
ISBN: 9783319575292$q(electronic bk.)
Standard No.: 10.1007/978-3-319-57529-2doiSubjects--Topical Terms:
380776
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Advances in knowledge discovery and data mining21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.Part II /
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21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.
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Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction.
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This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
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based on 0 review(s)
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EB QA76.9.D343 P117 2017
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http://dx.doi.org/10.1007/978-3-319-57529-2
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