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

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

Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III Paperback - 2019

by Ulf Brefeld (Editor); Edward Curry (Editor); Elizabeth Daly (Editor)

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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
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  • Title Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III
  • Author Ulf Brefeld (Editor); Edward Curry (Editor); Elizabeth Daly (Editor)
  • Binding Paperback
  • Condition New
  • Pages 706
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2019-01-18
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # ria9783030109967_inp
  • ISBN 9783030109967 / 3030109968
  • Weight 2.24 lbs (1.02 kg)
  • Dimensions 9.21 x 6.14 x 1.48 in (23.39 x 15.60 x 3.76 cm)
  • Category Computers - Data Base Management
  • Dewey Decimal Code 006.312
  • Quantity available 1021

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Reader reviews for Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III

From the publisher

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 learning; ensemble 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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