國立高雄大學圖資館 |

Language: English

Back

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 I /

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, 841 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Data miningCongresses.
Online resource:	http://dx.doi.org/10.1007/978-3-319-57454-7
ISBN:	9783319574547$q(electronic bk.)

Advances in knowledge discovery and data mining21st 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 ;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: 9783319574547$q(electronic bk.)

Standard No.: 10.1007/978-3-319-57454-7doiSubjects--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 I /
LDR:02461nmm a2200349 a 4500 001 511917
003 DE-He213
005 20170422160524.0
006 m d
007 cr nn 008maaau
008 171226s2017 gw s 0 eng d
020 $a 9783319574547$q(electronic bk.)
020 $a 9783319574530$q(paper)
024 7 $a 10.1007/978-3-319-57454-7 $2 doi
035 $a 978-3-319-57454-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b P117 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Advances in knowledge discovery and data mining $h [electronic resource] : $b 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017 : proceedings. $n Part I / $c edited by Jinho Kim ... [et al.].
246 3 $a PAKDD 2017
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxxii, 841 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Information Storage and Retrieval. $3 274190
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
650 2 4 $a Database Management. $3 273994
650 2 4 $a Systems and Data Security. $3 274481
700 1 $a Kim, Jinho. $3 744481
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-57454-7
950 $a Computer Science (Springer-11645)