東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Advances in knowledge discovery and ...

Pacific-Asia Conference on Knowledge Discovery and Data Mining (2019 :)

Linked to FindBook

Google Book

Amazon

博客來

Advances in knowledge discovery and data mining = 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in knowledge discovery and data mining/ edited by Qiang Yang ... [et al.].
Reminder of title:	23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.
remainder title:	PAKDD 2019
other author:	Yang, Qiang.
corporate name:	Pacific-Asia Conference on Knowledge Discovery and Data Mining
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxix, 631 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-16145-3
ISBN:	9783030161453

Advances in knowledge discovery and data mining = 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.. Part II /
Advances in knowledge discovery and data mining23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.Part II /[electronic resource] :PAKDD 2019edited by Qiang Yang ... [et al.]. - Cham :Springer International Publishing :2019. - xxix, 631 p. :ill., digital ;24 cm. - Lecture notes in computer science,114400302-9743 ;. - Lecture notes in computer science ;11440..

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

ISBN: 9783030161453

Standard No.: 10.1007/978-3-030-16145-3doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and data mining = 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.. Part II /
LDR:02480nmm a2200349 a 4500 001 2180364
003 DE-He213
005 20190322172342.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030161453 $q (electronic bk.)
020 $a 9783030161446 $q (paper)
024 7 $a 10.1007/978-3-030-16145-3 $2 doi
035 $a 978-3-030-16145-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b P117 2019
111 2 $a Pacific-Asia Conference on Knowledge Discovery and Data Mining $n (23rd : $d 2019 : $c Macau, China) $3 3386364
245 1 0 $a Advances in knowledge discovery and data mining $h [electronic resource] : $b 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings. $n Part II / $c edited by Qiang Yang ... [et al.].
246 3 $a PAKDD 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxix, 631 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11440
490 1 $a Lecture notes in artificial intelligence
520 $a The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 892702
650 2 4 $a Systems and Data Security. $3 898223
700 1 $a Yang, Qiang. $3 1678660
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 11440. $3 3386366
830 0 $a Lecture notes in artificial intelligence. $3 3382562
856 4 0 $u https://doi.org/10.1007/978-3-030-16145-3
950 $a Computer Science (Springer-11645)