Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings: 10535 - Brossura

9783319712451: Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings: 10535

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ISBN 10: 3319712454 ISBN 13: 9783319712451

Casa editrice: Springer-Nature New York Inc, 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.

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Editore: Springer-Nature New York Inc
Data di pubblicazione: 2018
Lingua: Inglese
ISBN 10: 3319712454
ISBN 13: 9783319712451
Rilegatura: Copertina flessibile
Numero edizione: 1
Numero di pagine: 900
Redattore: Ceci Michelangelo, Hollmen Jaakko, Todorovski Ljupco, Vens Celine, Deroski Sao
Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com

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Machine Learning and Knowledge Discovery in Databases

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

Editore: Springer International Publishing, 2018

ISBN 10: 3319712454 ISBN 13: 9783319712451

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Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci

Editore: Springer International Publishing Jan 2018, 2018

ISBN 10: 3319712454 ISBN 13: 9783319712451

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Taschenbuch. Condizione: 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. Codice articolo 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

Editore: Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319712454 ISBN 13: 9783319712451

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Taschenbuch. Condizione: 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. Codice articolo 9783319712451

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Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci

Editore: Springer International Publishing, Springer Nature Switzerland Jan 2018, 2018

ISBN 10: 3319712454 ISBN 13: 9783319712451

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Taschenbuch. Condizione: 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. Codice articolo 9783319712451

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