國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in knowledge discovery and ...

(1998 :)

Advances in knowledge discovery and data mining23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.Part III /

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 Qiang Yang ... [et al.].
其他題名:	23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.
其他題名:	PAKDD 2019
其他作者:	Yang, Qiang.
團體作者:
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xxviii, 556 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data miningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-16142-2
ISBN:	9783030161422$q(electronic bk.)

Advances in knowledge discovery and data mining23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.Part III /
Advances in knowledge discovery and data mining23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.Part III /[electronic resource] :PAKDD 2019edited by Qiang Yang ... [et al.]. - Cham :Springer International Publishing :2019. - xxviii, 556 p. :ill., digital ;24 cm. - Lecture notes in computer science,114410302-9743 ;. - Lecture notes in computer science ;4891..

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: 9783030161422$q(electronic bk.)

Standard No.: 10.1007/978-3-030-16142-2doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and data mining23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.Part III /
LDR:02483nmm a2200349 a 4500 001 554429
003 DE-He213
005 20190320221501.0
006 m d
007 cr nn 008maaau
008 191118s2019 gw s 0 eng d
020 $a 9783030161422$q(electronic bk.)
020 $a 9783030161415$q(paper)
024 7 $a 10.1007/978-3-030-16142-2 $2 doi
035 $a 978-3-030-16142-2
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 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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 III / $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 xxviii, 556 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11441
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 380776
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 274376
650 2 4 $a Systems and Data Security. $3 274481
700 1 $a Yang, Qiang. $3 279160
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
830 0 $a Lecture notes in artificial intelligence. $3 822012
856 4 0 $u https://doi.org/10.1007/978-3-030-16142-2
950 $a Computer Science (Springer-11645)