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Author ECML PKDD (Conference) (2018 : Dublin, Ireland)

Title Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings / Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim (Eds.)
Published Cham, Switzerland : Springer, [2019]

Copies

Location Call no. Vol. Availability
 MELB  006.31 Ecl/Mla Part1 2018  AVAILABLE
 MELB  006.31 Ecl/Mla Part2 2018  AVAILABLE
Description 3 volumes : illustrations (black and white) ; 24 cm
Series Lecture Notes in Computer Science, 0302-9743 ; 11051-11053. Lecture Notes in Artificial Intelligence
LNCS Sublibrary: SL7 - Artificial Intelligence
Lecture notes in computer science ; 11051-11053. 0302-9743
Lecture notes in computer science. Lecture notes in artificial intelligence.
Contents 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
Summary 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
Notes Pt. III edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
Bibliography Includes bibliographical references and author index
Subject Machine learning -- Congresses.
Data mining -- Congresses.
Genre/Form Conference papers and proceedings.
Author Berlingerio, Michele, editor
Brefeld, Ulf, editor
ISBN 9783030109240 (part I) (paperback)
9783030109271 (part II) (paperback)
9783030109967 (part III) (paperback)