Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11053)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference proceedings info: ECML PKDD 2018.
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Table of contents (54 papers)
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ADS Financial/Security
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Front Matter
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ADS Health
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Front Matter
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Other Volumes
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Machine Learning and Knowledge Discovery in Databases
About this book
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.
Keywords
- artificial intelligence
- bayesian networks
- classification
- data mining
- Human-Computer Interaction (HCI)
- internet
- learning algorithms
- machine learning
- natural language processing systems
- neural networks
- semantics
- sensor
- sensors
- signal processing
- social networks
- ubiquitous computing
- user interfaces
- wireless networks
- wireless telecommunication systems
- World Wide Web
Editors and Affiliations
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Leuphana University, Lüneburg, Germany
Ulf Brefeld
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National University of Ireland, Galway, Ireland
Edward Curry
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IBM Research - Ireland, Dublin, Ireland
Elizabeth Daly, Michele Berlingerio
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University College Dublin, Dublin, Ireland
Brian MacNamee, Neil Hurley
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Nokia (Ireland), Dublin, Ireland
Alice Marascu
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Vodafone, Milan, Italy
Fabio Pinelli
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases
Book Subtitle: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III
Editors: Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, … Neil Hurley
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-10997-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-10996-7Published: 18 January 2019
eBook ISBN: 978-3-030-10997-4Published: 17 January 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXI, 706
Number of Illustrations: 138 b/w illustrations, 194 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Systems Organization and Communication Networks, Computer Appl. in Social and Behavioral Sciences, Systems and Data Security, Computer Crime
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications
