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

Machine learning and knowledge disco...

(1998 :)

Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and knowledge discovery in databasesedited by Ulf Brefeld ... [et al.].
其他題名:	European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.
其他題名:	ECML PKDD 2019
其他作者:	Brefeld, Ulf.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xxviii, 804 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-46133-1
ISBN:	9783030461331$q(electronic bk.)

Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /[electronic resource] :ECML PKDD 2019edited by Ulf Brefeld ... [et al.]. - Cham :Springer International Publishing :2020. - xxviii, 804 p. :ill., digital ;24 cm. - Lecture notes in computer science,119080302-9743 ;. - Lecture notes in computer science ;4891..

Reinforcement Learning and Bandits -- Ranking -- Applied Data Science: Computer Vision and Explanation -- Applied Data Science: Healthcare -- Applied Data Science: E-commerce, Finance, and Advertising -- Applied Data Science: Rich Data -- Applied Data Science: Applications -- Demo Track.

The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization. Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.

ISBN: 9783030461331$q(electronic bk.)

Standard No.: 10.1007/978-3-030-46133-1doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .E35 2019

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings.Part III /
LDR:02680nmm a2200361 a 4500 001 571783
003 DE-He213
005 20200430085850.0
006 m d
007 cr nn 008maaau
008 200922s2020 sz s 0 eng d
020 $a 9783030461331$q(electronic bk.)
020 $a 9783030461324$q(paper)
024 7 $a 10.1007/978-3-030-46133-1 $2 doi
035 $a 978-3-030-46133-1
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .E35 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .E19 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Machine learning and knowledge discovery in databases $h [electronic resource] : $b European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019 : proceedings. $n Part III / $c edited by Ulf Brefeld ... [et al.].
246 3 $a ECML PKDD 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxviii, 804 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11908
490 1 $a Lecture notes in artificial intelligence
505 0 $a Reinforcement Learning and Bandits -- Ranking -- Applied Data Science: Computer Vision and Explanation -- Applied Data Science: Healthcare -- Applied Data Science: E-commerce, Finance, and Advertising -- Applied Data Science: Rich Data -- Applied Data Science: Applications -- Demo Track.
520 $a The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization. Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Applications. $3 273760
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Computing Milieux. $3 275270
650 2 4 $a Computer Systems Organization and Communication Networks. $3 273709
700 1 $a Brefeld, Ulf. $3 836112
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/10.1007/978-3-030-46133-1
950 $a Computer Science (Springer-11645)