|
|
|
|
| LEADER |
00000cam a22000007i 4500 |
| 001 |
on1398310511 |
| 003 |
OCoLC |
| 005 |
20240909213021.0 |
| 006 |
m o d |
| 007 |
cr un|---aucuu |
| 008 |
230920s2023 sz a o 101 0 eng d |
| 040 |
|
|
|a GW5XE
|b eng
|e rda
|e pn
|c GW5XE
|d GW5XE
|d WSU
|d OCLCO
|d N$T
|d OCLCF
|d OCLCO
|
| 020 |
|
|
|a 9783031434150
|q (electronic bk.)
|
| 020 |
|
|
|a 3031434153
|q (electronic bk.)
|
| 020 |
|
|
|z 9783031434143
|
| 024 |
7 |
|
|a 10.1007/978-3-031-43415-0
|2 doi
|
| 035 |
|
|
|a (OCoLC)1398310511
|
| 050 |
|
4 |
|a Q325.5
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a COM004000
|2 bisacsh
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 111 |
2 |
|
|a ECML PKDD (Conference)
|d (2023 :
|c Turin, Italy)
|
| 245 |
1 |
0 |
|a Machine learning and knowledge discovery in databases :
|b Research track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings.
|n Part II /
|c Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi, editors.
|
| 246 |
3 |
|
|a ECML PKDD 2023
|
| 246 |
3 |
|
|a Research track
|
| 264 |
|
1 |
|a Cham :
|b Springer,
|c 2023.
|
| 300 |
|
|
|a 1 online resource (liv, 719 pages) :
|b illustrations (some color).
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Lecture notes in artificial intelligence
|
| 490 |
1 |
|
|a Lecture notes in computer science ;
|v 14170
|
| 490 |
1 |
|
|a LNCS sublibrary, SL 7, Artificial intelligence
|
| 505 |
0 |
|
|a Computer Vision -- Deep Learning -- Fairness -- Federated Learning -- Few-shot learning -- Generative Models -- Graph Contrastive Learning.
|
| 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.
|
| 500 |
|
|
|a Includes author index.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed September 20, 2023).
|
| 650 |
|
0 |
|a Machine learning
|v Congresses.
|
| 650 |
|
0 |
|a Data mining
|v Congresses.
|
| 650 |
|
0 |
|a Databases
|v Congresses.
|
| 650 |
|
7 |
|a Data mining
|2 fast
|
| 650 |
|
7 |
|a Databases
|2 fast
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|
| 655 |
|
7 |
|a proceedings (reports)
|2 aat
|
| 655 |
|
7 |
|a Conference papers and proceedings
|2 fast
|
| 655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
|
| 655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
| 700 |
1 |
|
|a Koutra, Danai,
|e editor.
|1 https://orcid.org/0000-0002-3206-8179
|
| 700 |
1 |
|
|a Plant, Claudia,
|e editor.
|1 https://orcid.org/0000-0001-5274-8123
|
| 700 |
1 |
|
|a Gomez Rodriguez, Manuel,
|e editor.
|0 (orcid)0000-0003-3930-1161
|1 https://orcid.org/0000-0003-3930-1161
|
| 700 |
1 |
|
|a Baralis, Elena,
|e editor.
|0 (orcid)0000-0001-9231-467X
|1 https://orcid.org/0000-0001-9231-467X
|
| 700 |
1 |
|
|a Bonchi, Francesco,
|e editor.
|1 https://orcid.org/0000-0001-9464-8315
|
| 830 |
|
0 |
|a Lecture notes in computer science.
|p Lecture notes in artificial intelligence.
|
| 830 |
|
0 |
|a Lecture notes in computer science ;
|v 14170.
|
| 830 |
|
0 |
|a LNCS sublibrary.
|n SL 7,
|p Artificial intelligence.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-43415-0
|y Click for online access
|
| 903 |
|
|
|a SPRING-ALL2023
|
| 994 |
|
|
|a 92
|b HCD
|