Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10535)
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 2017.
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Table of contents (51 papers)
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Front Matter
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Probabilistic Models and Methods
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Front Matter
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Recommendation
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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 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017.
The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows:
Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.
Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.
Part III: applied data science track; nectar track; and demo track.
Keywords
- anomaly detection
- artificial intelligence
- Bayesian networks
- classification
- clustering algorithms
- data mining
- data security
- data stream
- image processing
- Kernel method
- learning algorithms
- machine learning
- neural networks
- recommender systems
- reinforcement learning
- signal processing
- social networking
- supervised learning
- Support Vector Machines (SVM)
- world wide web
Editors and Affiliations
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Università degli Studi di Bari Aldo Moro, Bari, Italy
Michelangelo Ceci
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Aalto University School of Science, Espoo, Finland
Jaakko Hollmén
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University of Ljubljana, Ljubljana, Slovenia
Ljupčo Todorovski
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KU Leuven Kulak, Kortrijk, Belgium
Celine Vens
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Jožef Stefan Institute, Ljubljana, Slovenia
Sašo Džeroski
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases
Book Subtitle: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II
Editors: Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, Sašo Džeroski
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-71246-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-71245-1Published: 10 January 2018
eBook ISBN: 978-3-319-71246-8Published: 29 December 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXIII, 866
Number of Illustrations: 213 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Image Processing and Computer Vision, Information Systems Applications (incl. Internet), Systems and Data Security, Computing Milieux