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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 I (Paperback, 1st ed. 2021)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoit Frenay, …
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R4,527
Discovery Miles 45 270
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Ships in 10 - 15 working days
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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)
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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 (Paperback, 1st ed. 2021)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoit Frenay, …
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R2,720
Discovery Miles 27 200
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Ships in 10 - 15 working days
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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)
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ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings (Paperback, 1st ed. 2020)
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, …
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R2,726
Discovery Miles 27 260
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Ships in 10 - 15 working days
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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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ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, …
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R1,521
Discovery Miles 15 210
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Ships in 10 - 15 working days
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This book constitutes revised selected papers from the workshops
DMLE and IoTStream, held at the 18thEuropean Conference on Machine
Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in
Dublin, Ireland, in September 2018. The 8 full papers presented in
this volume were carefully reviewed and selected from a total of 12
submissions. The workshops included are: DMLE 2018: First Workshop
on Decentralized Machine Learning at the Edge IoTStream 2018: 3rd
Workshop on IoT Large Scale Machine Learning from Data Streams
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