001480957 000__ 04666cam\\22006737i\4500
001480957 001__ 1480957
001480957 003__ OCoLC
001480957 005__ 20231031003316.0
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001480957 008__ 230920s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001480957 020__ $$a9783031434273$$q(electronic bk.)
001480957 020__ $$a3031434277$$q(electronic bk.)
001480957 020__ $$z9783031434266
001480957 0247_ $$a10.1007/978-3-031-43427-3$$2doi
001480957 035__ $$aSP(OCoLC)1398309666
001480957 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dWSU
001480957 049__ $$aISEA
001480957 050_4 $$aQ325.5
001480957 08204 $$a006.3/1$$223/eng/20230920
001480957 1112_ $$aECML PKDD (Conference)$$d(2023 :$$cTurin, Italy)
001480957 24510 $$aMachine learning and knowledge discovery in databases :$$bApplied data science and Demo track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings.$$nPart VI /$$cGianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi, editors.
001480957 2463_ $$aECML PKDD 2023
001480957 2463_ $$aApplied data science and Demo track
001480957 264_1 $$aCham :$$bSpringer,$$c2023.
001480957 300__ $$a1 online resource (lv, 703 pages) :$$billustrations (some color)
001480957 336__ $$atext$$btxt$$2rdacontent
001480957 337__ $$acomputer$$bc$$2rdamedia
001480957 338__ $$aonline resource$$bcr$$2rdacarrier
001480957 4901_ $$aLecture notes in artificial intelligence
001480957 4901_ $$aLecture notes in computer science ;$$v14174
001480957 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001480957 500__ $$aIncludes author index.
001480957 5050_ $$aApplied Machine Learning -- Computational Social Sciences -- Finance -- Hardware and Systems -- Healthcare & Bioinformatics -- Human-Computer Interaction -- Recommendation and Information Retrieval.
001480957 506__ $$aAccess limited to authorized users.
001480957 520__ $$aThe multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
001480957 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 20, 2023).
001480957 650_0 $$aMachine learning$$vCongresses.$$vCongresses$$0(DLC)sh2008107143
001480957 650_0 $$aData mining$$vCongresses.$$vCongresses$$0(DLC)sh2008102035
001480957 650_0 $$aDatabases$$vCongresses.$$0(DLC)sh2016002790
001480957 655_7 $$aConference papers and proceedings.$$2lcgft
001480957 655_0 $$aElectronic books.
001480957 7001_ $$aDe Francisci Morales, Gianmarco,$$eeditor.$$0(orcid)0000-0002-2415-494X$$1https://orcid.org/0000-0002-2415-494X
001480957 7001_ $$aPerlich, Claudia,$$eeditor.
001480957 7001_ $$aRuchansky, Natali,$$eeditor.$$0(orcid)0000-0002-0367-4807$$1https://orcid.org/0000-0002-0367-4807
001480957 7001_ $$aKourtellis, Nicolas,$$eeditor.$$0(orcid)0000-0002-5674-1698$$1https://orcid.org/0000-0002-5674-1698
001480957 7001_ $$aBaralis, Elena,$$eeditor.$$0(orcid)0000-0001-9231-467X$$1https://orcid.org/0000-0001-9231-467X
001480957 7001_ $$aBonchi, Francesco,$$eeditor.$$1https://orcid.org/0000-0001-9464-8315
001480957 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001480957 830_0 $$aLecture notes in computer science ;$$v14174.
001480957 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001480957 852__ $$bebk
001480957 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-43427-3$$zOnline Access$$91397441.1
001480957 909CO $$ooai:library.usi.edu:1480957$$pGLOBAL_SET
001480957 980__ $$aBIB
001480957 980__ $$aEBOOK
001480957 982__ $$aEbook
001480957 983__ $$aOnline
001480957 994__ $$a92$$bISE