Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings - Couverture souple

9783319712451: Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings

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ISBN 10 : 3319712454 ISBN 13 : 9783319712451

Editeur : Springer International Publishing AG, 2018

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The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.

The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.

The contributions were organized in topical sections named as follows:
Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.
Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.
Part III: applied data science track; 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 International Publishing AG
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319712454
ISBN 13: 9783319712451
Reliure: Broch�
Num�ro d'�dition: 1
Nombre de pages: 866
�diteur: Ceci Michelangelo, Hollm�n Jaakko, Todorovski Ljupčo, Vens Celine, Džeroski Sašo
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Machine Learning and Knowledge Discovery in Databases

Ceci, Michelangelo|Hollm�n, Jaakko|Todorovski, Ljupco|Vens, Celine|Dzeroski, Saso

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319712454 ISBN 13 : 9783319712451

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Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18�22, 2017, Proceedings, Part II

Michelangelo Ceci

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3319712454 ISBN 13 : 9783319712451

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track. N� de r�f. du vendeur 9783319712451

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Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci

Edit� par Springer International Publishing Jan 2018, 2018

ISBN 10 : 3319712454 ISBN 13 : 9783319712451

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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 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track. 900 pp. Englisch. N� de r�f. du vendeur 9783319712451

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II (Lecture Notes in Computer Science, 10535)

Edit� par Springer, 2018

ISBN 10 : 3319712454 ISBN 13 : 9783319712451

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Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci

Edit� par Springer International Publishing, Springer Nature Switzerland Jan 2018, 2018

ISBN 10 : 3319712454 ISBN 13 : 9783319712451

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -The three volume proceedings LNAI 10534 � 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows:Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.Part III: applied data science track; nectar track; and demo track.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 900 pp. Englisch. N� de r�f. du vendeur 9783319712451

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