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Produktbild: Machine Learning and Principles and Practice of Knowledge Discovery in Databases
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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

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Beschreibung

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...

Beschreibung

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)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.02.2022

Abbildungen

XXVI, 584 p. 156 illus., 135 illus. in color.

Herausgeber José Oramas + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.02.2022

Abbildungen

XXVI, 584 p. 156 illus., 135 illus. in color.

Herausgeber
Verlag Springer
Seitenzahl

584

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

914 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-93732-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • 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.