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Advances in knowledge discovery and ...

Pacific-Asia Conference on Knowledge Discovery and Data Mining (2017 :)

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Advances in knowledge discovery and data mining = 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in knowledge discovery and data mining/ edited 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:	Pacific-Asia Conference on Knowledge Discovery and Data Mining
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xxxii, 841 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data mining - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-57454-7
ISBN:	9783319574547

Advances in knowledge discovery and data mining = 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.. Part I /
Advances in knowledge discovery and data mining21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.Part I /[electronic resource] :PAKDD 2017edited by Jinho Kim ... [et al.]. - Cham :Springer International Publishing :2017. - xxxii, 841 p. :ill., digital ;24 cm. - Lecture notes in computer science,102340302-9743 ;. - Lecture notes in computer science ;10234..

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: 9783319574547

Standard No.: 10.1007/978-3-319-57454-7doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and data mining = 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings.. Part I /
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490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10234
505 0 $a 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.
520 $a 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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