
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
Michael KampIrena KoprinskaAdrien BibalTassadit BouadiBenoît FrénayLuis GalárragaJosé OramasLinara AdilovaYamuna KrishnamurthyBo KangChristine LargeronJefrey LijffijtTiphaine ViardPascal WelkeMassimiliano RuoccoErlend AuneClaudio GallicchioGregor SchieleFranz PernkopfMichaela BlottHolger FröningGünther SchindlerRiccardo GuidottiAnna MonrealeSalvatore RinzivilloPrzemyslaw BiecekEirini NtoutsiMykola PechenizkiyBodo RosenhahnChristopher BuckleyDaniela CialfiPablo LanillosMaxwell RamsteadTim VerbelenPedro M. FerreiraGiuseppina AndresiniDonato MalerbaIbéria MedeirosPhilippe Fournier-VigerM. Saqib NawazSebastian VenturaMeng SunMin ZhouValerio BitettaIlaria BordinoAndrea FerrettiFrancesco GulloGiovanni PontiLorenzo SeveriniRita RibeiroJoão GamaRicard GavaldàLee CooperNaghmeh GhazalehJonas RichiardiDamian RoqueiroDiego Saldana MirandaKonstantinos SechidisGuilherme Graça(Editor)
Springer (Publisher)
Published on 19. February 2022
Book
Paperback/Softback
XXVI, 584 pages
978-3-030-93732-4 (ISBN)
Description
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online.
The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)
The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
21 s/w Abbildungen, 135 farbige Abbildungen
XXVI, 584 p. 156 illus., 135 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 33 mm
Weight
914 gr
ISBN-13
978-3-030-93732-4 (9783030937324)
DOI
10.1007/978-3-030-93733-1
Schweitzer Classification
Other editions
Additional editions

Michael Kamp | Irena Koprinska | Adrien Bibal
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
E-Book
02/2022
Springer
€96.29
Available for download
Persons
Content
Machine Learning for CyberSecurity.- Workshop on Machine Learning in Softtware Engineering.- MIning DAta for financial applicationS.- Sixth Workshop on Data Science for Social Good (SoGood 2021).- Machine Learning for Pharma and Healthcare Applications.- Machine Learning for Buildings Energy Management.