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100   $a20210224d2021      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine Learning and Knowledge Discovery in Databases$b[electronic resource] $eEuropean Conference, ECML PKDD 2020, Ghent, Belgium, September 14?18, 2020, Proceedings, Part I /$fedited by Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (L, 764 p. 219 illus., 188 illus. in color.) 
225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12457
311   $a3-030-67657-9 
327   $aPattern 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.
330   $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. .
410  0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12457
606   $aData mining
606   $aData structures (Computer science)
606   $aInformation theory
606   $aMachine learning
606   $aSocial sciences?Data processing
606   $aComputer vision
606   $aData Mining and Knowledge Discovery
606   $aData Structures and Information Theory
606   $aMachine Learning
606   $aComputer Application in Social and Behavioral Sciences
606   $aComputer Vision
615  0$aData mining.
615  0$aData structures (Computer science).
615  0$aInformation theory.
615  0$aMachine learning.
615  0$aSocial sciences?Data processing.
615  0$aComputer vision.
615 14$aData Mining and Knowledge Discovery.
615 24$aData Structures and Information Theory.
615 24$aMachine Learning.
615 24$aComputer Application in Social and Behavioral Sciences.
615 24$aComputer Vision.
676   $a006.312
702   $aHutter$b Frank$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKersting$b Kristian$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLijffijt$b Jefrey$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aValera$b Isabel$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a996464444703316
996   $aMachine Learning and Knowledge Discovery in Databases$9773712
997   $aUNISA