國立高雄大學圖資館 |

登入

回首頁

Machine learning and knowledge discovery in databasesapplied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part VI /

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 Gianmarco De Francisci Morales ... [et al.].
其他題名:	applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.
其他題名:	ECML PKDD 2023
其他作者:	De Francisci Morales, Gianmarco.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	lv, 703 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-43427-3
ISBN:	9783031434273$q(electronic bk.)

Machine learning and knowledge discovery in databasesapplied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part VI /
Machine learning and knowledge discovery in databasesapplied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part VI /[electronic resource] :ECML PKDD 2023edited by Gianmarco De Francisci Morales ... [et al.]. - Cham :Springer Nature Switzerland :2023. - lv, 703 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141740302-9743 ;. - Lecture notes in computer science ;4891..

Applied Machine Learning -- Computational Social Sciences -- Finance -- Hardware and Systems -- Healthcare & Bioinformatics -- Human-Computer Interaction -- Recommendation and Information Retrieval.

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment -- Transportation & Urban Planning -- Demo.

ISBN: 9783031434273$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43427-3doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databasesapplied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings.Part VI /
LDR:02828nmm a2200361 a 4500 001 651171
003 DE-He213
005 20230918060310.0
006 m d
007 cr nn 008maaau
008 240327s2023 sz s 0 eng d
020 $a 9783031434273$q(electronic bk.)
020 $a 9783031434266$q(paper)
024 7 $a 10.1007/978-3-031-43427-3 $2 doi
035 $a 978-3-031-43427-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
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 2023
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 applied data science and demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023 : proceedings. $n Part VI / $c edited by Gianmarco De Francisci Morales ... [et al.].
246 3 $a ECML PKDD 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a lv, 703 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14174
490 1 $a Lecture notes in artificial intelligence
505 0 $a Applied Machine Learning -- Computational Social Sciences -- Finance -- Hardware and Systems -- Healthcare & Bioinformatics -- Human-Computer Interaction -- Recommendation and Information Retrieval.
520 $a The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment -- Transportation & Urban Planning -- Demo.
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Databases $v Congresses. $3 384615
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Engineering and Networks. $3 913124
650 2 4 $a Computing Milieux. $3 275270
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Software Engineering. $3 274511
700 1 $a De Francisci Morales, Gianmarco. $3 961322
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
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/10.1007/978-3-031-43427-3
950 $a Computer Science (SpringerNature-11645)