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001434688 019__ $$a1239962632$$a1241446038$$a1249943520$$a1253408052
001434688 020__ $$a9783030676674$$q(electronic bk.)
001434688 020__ $$a3030676676$$q(electronic bk.)
001434688 020__ $$a9783030676681$$q(print)
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001434688 0247_ $$a10.1007/978-3-030-67667-4$$2doi
001434688 035__ $$aSP(OCoLC)1241066658
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001434688 1112_ $$aECML PKDD (Conference)$$d(2020 :$$cOnline)
001434688 24510 $$aMachine learning and knowledge discovery in databases :$$bapplied data science track : European conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings.$$nPart IV /$$cYuxiao Dong, Dunja Mladenić, Craig Saunders, (eds.).
001434688 24630 $$aECML PKDD 2020
001434688 264_1 $$aCham :$$bSpringer,$$c[2021]
001434688 300__ $$a1 online resource (xlii, 580 pages) :$$billustrations (chiefly color)
001434688 336__ $$atext$$btxt$$2rdacontent
001434688 337__ $$acomputer$$bc$$2rdamedia
001434688 338__ $$aonline resource$$bcr$$2rdacarrier
001434688 347__ $$atext file
001434688 347__ $$bPDF
001434688 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v12460
001434688 500__ $$aInternational conference proceedings.
001434688 500__ $$aIncludes author index.
001434688 5050_ $$aApplied data science: recommendation -- applied data science: anomaly detection -- applied data science: Web mining -- applied data science: transportation -- applied data science: activity recognition -- applied data science: hardware and manufacturing -- applied data science: spatiotemporal data.
001434688 506__ $$aAccess limited to authorized users.
001434688 520__ $$aThe 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio- ) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
001434688 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2021).
001434688 650_0 $$aMachine learning$$vCongresses.
001434688 650_0 $$aData mining$$vCongresses.
001434688 650_0 $$aData mining.
001434688 650_0 $$aArtificial intelligence.
001434688 650_0 $$aEducation$$xData processing.
001434688 650_0 $$aApplication software.
001434688 650_0 $$aOptical data processing.
001434688 650_6 $$aApprentissage automatique$$vCongrès.
001434688 650_6 $$aExploration de données (Informatique)$$vCongrès.
001434688 650_6 $$aExploration de données (Informatique)
001434688 650_6 $$aIntelligence artificielle.
001434688 650_6 $$aÉducation$$xInformatique.
001434688 650_6 $$aLogiciels d'application.
001434688 650_6 $$aTraitement optique de l'information.
001434688 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434688 655_7 $$aConference papers and proceedings.$$2lcgft
001434688 655_7 $$aActes de congrès.$$2rvmgf
001434688 655_0 $$aElectronic books.
001434688 7001_ $$aDong, Yuxiao,$$eeditor.
001434688 7001_ $$aMladenić, Dunja,$$d1967-$$eeditor.
001434688 7001_ $$aSaunders, Craig,$$eeditor.
001434688 77608 $$iPrint version:$$z9783030676667
001434688 77608 $$iPrint version:$$z9783030676681
001434688 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001434688 830_0 $$aLecture notes in computer science ;$$v12460.
001434688 852__ $$bebk
001434688 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-67667-4$$zOnline Access$$91397441.1
001434688 909CO $$ooai:library.usi.edu:1434688$$pGLOBAL_SET
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