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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Principles and Practice of Knowledge Discovery in Databases Irena Koprinska
Libristo kod: 42144282
Nakladnici Springer, Berlin, studeni 2022
This volume constitutes the papers of several workshops which were held in conjunction with the Inte... Cijeli opis
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This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

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Puni naziv Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Autor Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2023
Broj stranica 486
EAN 9783031236327
Libristo kod 42144282
Nakladnici Springer, Berlin
Težina 702
Dimenzije 155 x 235

Kategorija

Computing & Information Technology > Computer science > Artificial intelligence
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