Machine Learning and Knowledge Discovery in Databases : International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I / / edited by Peggy Cellier, Kurt Driessens

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XX, 679 p. 325 illus., 157 illus. in color.)
• Disciplina: 006.31
• Soggetto topico: Artificial intelligence; Application software; Education—Data processing; Computer communication systems; Optical data processing; Artificial Intelligence; Computer Applications; Computers and Education; Information Systems Applications (incl. Internet); Computer Communication Networks; Computer Imaging, Vision, Pattern Recognition and Graphics
• Persona (resp. second.): CellierPeggy; DriessensKurt
• Nota di contenuto: Automating 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).
• Sommario/riassunto: This 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. .
• Titolo autorizzato: Machine Learning and Knowledge Discovery in Databases
• ISBN: 3-030-43823-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910410050503321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 1167