LEADER 03343nam 2200517 450 001 996517753803316 005 20230729144202.0 010 $a3-031-26390-1 024 7 $a10.1007/978-3-031-26390-3 035 $a(MiAaPQ)EBC7216757 035 $a(Au-PeEL)EBL7216757 035 $a(CKB)26271463000041 035 $a(DE-He213)978-3-031-26390-3 035 $a(PPN)269092579 035 $a(EXLCZ)9926271463000041 100 $a20230729d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine learning and knowledge discovery in databases $eEuropean conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, proceedings, Part II /$fMassih-Reza Amini [and five others] 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2023] 210 4$dİ2023 215 $a1 online resource (797 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13714 311 08$aPrint version: Amini, Massih-Reza Machine Learning and Knowledge Discovery in Databases Cham : Springer International Publishing AG,c2023 9783031263897 327 $aNetworks and graphs -- knowledge graphs -- social network analysis -- graph neural networks -- natural language processing and text mining -- conversational systems. 330 $aThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13714 606 $aData mining$vCongresses 606 $aDatabases$vCongresses 606 $aMachine learning$vCongresses 615 0$aData mining 615 0$aDatabases 615 0$aMachine learning 676 $a006.31 700 $aAmini$b Massih-Reza$01060956 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996517753803316 996 $aMachine learning and knowledge discovery in databases$93406175 997 $aUNISA