9783030109967-3030109968-Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III (Lecture Notes in Computer Science, 11053)

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III (Lecture Notes in Computer Science, 11053)

ISBN-13: 9783030109967
ISBN-10: 3030109968
Edition: 1st ed. 2019
Author: Edward Curry, Elizabeth Daly, Brian Macnamee, Ulf Brefeld, Neil Hurley, Alice Marascu, Fabio Pinelli, Michele Berlingerio
Publication date: 2019
Publisher: Springer
Format: Paperback 737 pages
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ISBN-13: 9783030109967
ISBN-10: 3030109968
Edition: 1st ed. 2019
Author: Edward Curry, Elizabeth Daly, Brian Macnamee, Ulf Brefeld, Neil Hurley, Alice Marascu, Fabio Pinelli, Michele Berlingerio
Publication date: 2019
Publisher: Springer
Format: Paperback 737 pages

Summary

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III (Lecture Notes in Computer Science, 11053) (ISBN-13: 9783030109967 and ISBN-10: 3030109968), written by authors Edward Curry, Elizabeth Daly, Brian Macnamee, Ulf Brefeld, Neil Hurley, Alice Marascu, Fabio Pinelli, Michele Berlingerio, was published by Springer in 2019. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III (Lecture Notes in Computer Science, 11053) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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