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Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2018 Dublin Ireland September 1014 2018 Proceedings Part I 1st Ed Michele Berlingerio

  • SKU: BELL-9962820
Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2018 Dublin Ireland September 1014 2018 Proceedings Part I 1st Ed Michele Berlingerio
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Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2018 Dublin Ireland September 1014 2018 Proceedings Part I 1st Ed Michele Berlingerio instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 78.34 MB
Author: Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim, (eds)
ISBN: 9783030109240, 9783030109257, 3030109240, 3030109259
Language: English
Year: 2019
Edition: 1st ed.

Product desciption

Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2018 Dublin Ireland September 1014 2018 Proceedings Part I 1st Ed Michele Berlingerio by Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim, (eds) 9783030109240, 9783030109257, 3030109240, 3030109259 instant download after payment.

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.

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