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001439651 019__ $$a1268574040
001439651 020__ $$a9783030865238$$q(electronic bk.)
001439651 020__ $$a3030865231$$q(electronic bk.)
001439651 020__ $$z9783030865221$$q(print)
001439651 0247_ $$a10.1007/978-3-030-86523-8$$2doi
001439651 035__ $$aSP(OCoLC)1268266483
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001439651 049__ $$aISEA
001439651 050_4 $$aQ325.5
001439651 08204 $$a006.3/1$$223
001439651 1112_ $$aECML PKDD (Conference)$$d(2021 :$$cOnline)
001439651 24510 $$aMachine learning and knowledge discovery in databases :$$bResearch track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings.$$nPart III /$$cNuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano (eds.).
001439651 2463_ $$aECML PKDD 2021
001439651 2463_ $$aResearch track
001439651 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001439651 300__ $$a1 online resource (xxxv, 831 pages) :$$billustrations (some color)
001439651 336__ $$atext$$btxt$$2rdacontent
001439651 337__ $$acomputer$$bc$$2rdamedia
001439651 338__ $$aonline resource$$bcr$$2rdacarrier
001439651 347__ $$atext file
001439651 347__ $$bPDF
001439651 4901_ $$aLecture notes in artificial intelligence
001439651 4901_ $$aLecture notes in computer science ;$$v12977
001439651 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001439651 500__ $$a"Unfortunately it had to be held online and we could only meet each other virtually."--Preface
001439651 500__ $$aIncludes author index.
001439651 506__ $$aAccess limited to authorized users.
001439651 520__ $$aThe multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.
001439651 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 16, 2021).
001439651 650_0 $$aMachine learning$$vCongresses.
001439651 650_0 $$aData mining$$vCongresses.
001439651 650_6 $$aApprentissage automatique$$vCongrès.
001439651 650_6 $$aExploration de données (Informatique)$$vCongrès.
001439651 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001439651 655_7 $$aConference papers and proceedings.$$2lcgft
001439651 655_7 $$aActes de congrès.$$2rvmgf
001439651 655_0 $$aElectronic books.
001439651 7001_ $$aOliver, Nuria,$$d1970-$$eeditor$$1https://orcid.org/0000-0001-5985-691X
001439651 7001_ $$aPérez-Cruz, Fernando,$$eeditor.$$0(orcid)0000-0001-8996-5076$$1https://orcid.org/0000-0001-8996-5076
001439651 7001_ $$aKramer, Stefan,$$cProf. Dr.,$$eeditor.
001439651 7001_ $$aRead, Jesse,$$eeditor$$0(orcid)0000-0002-1013-6724$$1https://orcid.org/0000-0002-1013-6724
001439651 7001_ $$aLozano, José A.,$$d1968-$$eeditor.$$1https://orcid.org/0000-0002-4683-8111
001439651 77608 $$iPrint version: $$z9783030865221
001439651 77608 $$iPrint version: $$z9783030865245
001439651 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001439651 830_0 $$aLecture notes in computer science ;$$v12977.
001439651 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001439651 852__ $$bebk
001439651 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86523-8$$zOnline Access$$91397441.1
001439651 909CO $$ooai:library.usi.edu:1439651$$pGLOBAL_SET
001439651 980__ $$aBIB
001439651 980__ $$aEBOOK
001439651 982__ $$aEbook
001439651 983__ $$aOnline
001439651 994__ $$a92$$bISE