Kamp / Koprinska / Kang 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
1. Auflage 2021
ISBN: 978-3-030-93733-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1525, 584 Seiten, eBook

Reihe: Communications in Computer and Information Science

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)

Zielgruppe

Research

Autoren/Hrsg.

Kamp, Michael

Koprinska, Irena

Kang, Bo

Bibal, Adrien

Largeron, Christine

Bouadi, Tassadit

Lijffijt, Jefrey

Frénay, Benoît

Viard, Tiphaine

Galárraga, Luis

Welke, Pascal

Oramas, José

Ruocco, Massimiliano

Adilova, Linara

Aune, Erlend

Krishnamurthy, Yamuna

Gallicchio, Claudio

Schiele, Gregor

Pernkopf, Franz

Blott, Michaela

Fröning, Holger

Schindler, Günther

Guidotti, Riccardo

Monreale, Anna

Rinzivillo, Salvatore

Biecek, Przemyslaw

Ntoutsi, Eirini

Pechenizkiy, Mykola

Rosenhahn, Bodo

Buckley, Christopher

Cialfi, Daniela

Lanillos, Pablo

Ramstead, Maxwell

Verbelen, Tim

Ferreira, Pedro M.

Andresini, Giuseppina

Malerba, Donato

Medeiros, Ibéria

Fournier-Viger, Philippe

Nawaz, M. Saqib

Ventura, Sebastian

Sun, Meng

Zhou, Min

Bitetta, Valerio

Bordino, Ilaria

Ferretti, Andrea

Gullo, Francesco

Ponti, Giovanni

Severini, Lorenzo

Ribeiro, Rita

Gama, João

Gavaldà, Ricard

Cooper, Lee

Ghazaleh, Naghmeh

Richiardi, Jonas

Roqueiro, Damian

Saldana Miranda, Diego

Sechidis, Konstantinos

Graça, Guilherme

Inhaltsverzeichnis

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.