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 ...

Lauw, Hady W.

Linked to FindBook

Google Book

Amazon

博客來

Advances in knowledge discovery and data mining = 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in knowledge discovery and data mining/ edited by Hady W. Lauw ... [et al.].
Reminder of title:	24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.
remainder title:	PAKDD 2020
other author:	Lauw, Hady W.
corporate name:	PAKDD (Conference)
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xxxvii, 886 p. :ill., digital ;24 cm.
[NT 15003449]:	Recommender Systems -- Classification -- Clustering -- Mining Social Networks -- Representation Learning and Embedding -- Mining Behavioral Data -- Deep Learning -- Feature Extraction and Selection -- Human, Domain, Organizational and Social Factors in Data Mining.
Contained By:	Springer eBooks
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-47426-3
ISBN:	9783030474263

Advances in knowledge discovery and data mining = 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.. Part I /
Advances in knowledge discovery and data mining24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.Part I /[electronic resource] :PAKDD 2020edited by Hady W. Lauw ... [et al.]. - Cham :Springer International Publishing :2020. - xxxvii, 886 p. :ill., digital ;24 cm. - Lecture notes in computer science,120840302-9743 ;. - Lecture notes in computer science ;12084..

Recommender Systems -- Classification -- Clustering -- Mining Social Networks -- Representation Learning and Embedding -- Mining Behavioral Data -- Deep Learning -- Feature Extraction and Selection -- Human, Domain, Organizational and Social Factors in Data Mining.

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 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: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

ISBN: 9783030474263

Standard No.: 10.1007/978-3-030-47426-3doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and data mining = 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.. Part I /
LDR:02902nmm a2200361 a 4500 001 2255017
003 DE-He213
005 20200512123752.0
006 m d
007 cr nn 008maaau
008 220419s2020 sz s 0 eng d
020 $a 9783030474263 $q (electronic bk.)
020 $a 9783030474256 $q (paper)
024 7 $a 10.1007/978-3-030-47426-3 $2 doi
035 $a 978-3-030-47426-3
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 P152 2020
111 2 $a PAKDD (Conference) $n (24th : $d 2020 : $c Singapore) $3 3524323
245 1 0 $a Advances in knowledge discovery and data mining $h [electronic resource] : $b 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings. $n Part I / $c edited by Hady W. Lauw ... [et al.].
246 3 $a PAKDD 2020
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxxvii, 886 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12084
490 1 $a Lecture notes in artificial intelligence
505 0 $a Recommender Systems -- Classification -- Clustering -- Mining Social Networks -- Representation Learning and Embedding -- Mining Behavioral Data -- Deep Learning -- Feature Extraction and Selection -- Human, Domain, Organizational and Social Factors in Data Mining.
520 $a The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 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: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Information Systems and Communication Service. $3 891044
650 2 4 $a Computer Applications. $3 891249
650 2 4 $a Computing Milieux. $3 893243
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
700 1 $a Lauw, Hady W. $3 3414043
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 12084. $3 3524324
830 0 $a Lecture notes in artificial intelligence. $3 3382562
856 4 0 $u https://doi.org/10.1007/978-3-030-47426-3
950 $a Computer Science (Springer-11645)