Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 Proceedings - Couverture souple

9783030109271: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 Proceedings

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ISBN 10 : 3030109275 ISBN 13 : 9783030109271

Editeur : Springer Nature Switzerland AG, 2019

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The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018.

The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track.

The contributions were organized in topical sections named as follows:
Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation.
Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.
Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer Nature Switzerland AG
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3030109275
ISBN 13: 9783030109271
Reliure: Broch�
Nombre de pages: 896
�diteur: Berlingerio Michele, Bonchi Francesco, G�rtner Thomas, Hurley Neil, Ifrim Georgiana
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Machine Learning and Knowledge Discovery in Databases (eng)

Berlingerio, Michele

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ISBN 10 : 3030109275 ISBN 13 : 9783030109271

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II (Lecture Notes in Computer Science)

Michele Berlingerio, Francesco Bonchi, Thomas G�rtner

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ISBN 10 : 3030109275 ISBN 13 : 9783030109271

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Machine Learning and Knowledge Discovery in Databases

Michele Berlingerio

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018.The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows:Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation.Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track. 896 pp. Englisch. N� de r�f. du vendeur 9783030109271

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Machine Learning and Knowledge Discovery in Databases

Berlingerio, Michele|Bonchi, Francesco|G�rtner, Thomas|Hurley, Neil|Ifrim, Georgiana

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Machine Learning And Knowledge Discovery

Berlingerio, Michele

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ISBN 10 : 3030109275 ISBN 13 : 9783030109271

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10?14, 2018, Proceedings, Part II (Lecture Notes in Computer Science, 11052)

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Machine Learning and Knowledge Discovery in Databases

Michele Berlingerio

Edit� par Springer International Publishing, Springer Nature Switzerland Jan 2019, 2019

ISBN 10 : 3030109275 ISBN 13 : 9783030109271

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Taschenbuch. Etat : Neu. Neuware -The three volume proceedings LNAI 11051 � 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018.The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows:Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation.Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 896 pp. Englisch. N� de r�f. du vendeur 9783030109271

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Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10�14, 2018, Proceedings, Part II

Michele Berlingerio

Edit� par Springer International Publishing, Springer International Publishing, 2019

ISBN 10 : 3030109275 ISBN 13 : 9783030109271

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018.The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows:Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation.Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track. N� de r�f. du vendeur 9783030109271

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