LEADER 05216nam 22006975 450 001 996465458003316 005 20200701153556.0 010 $a3-030-43823-6 024 7 $a10.1007/978-3-030-43823-4 035 $a(CKB)4100000010770733 035 $a(DE-He213)978-3-030-43823-4 035 $a(MiAaPQ)EBC6147776 035 $a(PPN)243223714 035 $a(EXLCZ)994100000010770733 100 $a20200327d2020 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] $eInternational Workshops of ECML PKDD 2019, Würzburg, Germany, September 16?20, 2019, Proceedings, Part I /$fedited by Peggy Cellier, Kurt Driessens 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XX, 679 p. 325 illus., 157 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0929 ;$v1167 311 $a3-030-43822-8 327 $aAutomating Data Science -- Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining (AIMLAI-XKDD) -- Decentralized Machine Learning at the Edge -- Advances in Managing and Mining Large Evolving Graphs -- Data and Machine Learning Advances with Multiple Views -- New Trends in Representation Learning with Knowledge Graphs (KGRL) -- Fourth Workshop on Data Science for Social Good (SoGood). 330 $aThis two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. . 410 0$aCommunications in Computer and Information Science,$x1865-0929 ;$v1167 606 $aArtificial intelligence 606 $aApplication software 606 $aEducation?Data processing 606 $aComputer communication systems 606 $aOptical data processing 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 606 $aComputers and Education$3https://scigraph.springernature.com/ontologies/product-market-codes/I24032 606 $aInformation Systems Applications (incl. 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