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020 _a9783030438876
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024 7 _a10.1007/978-3-030-43887-6
_2doi
041 _aeng
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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245 1 0 _aMachine Learning and Knowledge Discovery in Databases
_h[electronic resource] :
_bInternational Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II /
_cedited by Peggy Cellier, Kurt Driessens.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIX, 745 p. 240 illus., 169 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1168
505 0 _aSecond International Workshop on Knowledge Discovery and User Modeling for Smart Cities (UMCit) -- Workshop on Data Integration and Applications (DINA) -- Machine Learning for Cybersecurity (MLCS) -- 6th Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics (MLSA) -- First Workshop on Categorizing Different Types of Online Harassment Languages in Social Media -- IoT Stream for Data Driven Predictive Maintenance -- 12th International Workshop on Machine Learning and Music (MML 2019) -- Large-scale biomedical semantic indexing and question answering (BioASQ).
520 _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. .
650 0 _aArtificial intelligence.
650 0 _aSocial sciences
_xData processing.
650 0 _aApplication software.
_94694
650 0 _aEducation
_xData processing.
_985469
650 0 _aDatabase management.
_91343
650 0 _aData mining.
_96146
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputers and Education.
650 2 4 _aDatabase Management.
_91343
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aCellier, Peggy.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDriessens, Kurt.
_eeditor.
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_1https://orcid.org/0000-0001-7871-2495
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
_959873
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030438869
776 0 8 _iPrinted edition:
_z9783030438883
830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1168
856 4 0 _uhttps://doi.org/10.1007/978-3-030-43887-6
_3Springer Nature eBook
_zOnline access link to the resource
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