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ECML PKDD 2020 Workshops

Name: ECML PKDD 2020 Workshops
Brand: Springer Nature Switzerland AG
SKU: 33616232
Price: 92.65 EUR
Availability: InStock
Author: Ricard Gavald?
ISBN: 9783030659646

Language

English

Book Paperback

Libristo code: 33616232

Publishers Springer Nature Switzerland AG, February 2021

This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint... Full description

Libristo code: 33616232

224 b

92.65 €

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This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.

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About the book

Full name ECML PKDD 2020 Workshops

Author Ricard Gavald?, Jo?o Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Jon Atle Gulla, Zbigniew W. Ras

Language

English

Binding Book - Paperback

Date of issue 2021

Number of pages 614

EAN 9783030659646

ISBN 303065964X

Libristo code 33616232

Publishers Springer Nature Switzerland AG

Weight 955

Dimensions 155 x 235 x 34