Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11051)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2018.
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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 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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Keywords
- artificial intelligence
- bayesian networks
- big data
- classification
- clustering
- data mining
- data security
- image processing
- learning algorithms
- machine learning
- neural networks
- recommender systems
- semantics
- signal filtering and prediction
- signal processing
- social networking
- social networks
- supervised learning
- Support Vector Machines (SVM)
Table of contents (44 papers)
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Front Matter
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Adversarial Learning
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Front Matter
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Anomaly and Outlier Detection
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Front Matter
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Applications
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Front Matter
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Classification
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Front Matter
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Other volumes
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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ECML PKDD 2018 Workshops
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ECML PKDD 2018 Workshops
Editors and Affiliations
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 I
Editors: Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-10925-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-10924-0Published: 18 January 2019
eBook ISBN: 978-3-030-10925-7Published: 17 January 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXVIII, 740
Number of Illustrations: 292 b/w illustrations, 159 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Computer Appl. in Social and Behavioral Sciences, Computing Milieux, Security