Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10534)
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 (50 papers)
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Front Matter
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Anomaly Detection
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Front Matter
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Computer Vision
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Front Matter
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Feature Selection and Extraction
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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 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 algorithm
- 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 I
Editors: Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, Sašo Džeroski
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-71249-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-71248-2Published: 30 December 2017
eBook ISBN: 978-3-319-71249-9Published: 29 December 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LXIII, 852
Number of Illustrations: 245 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