Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10536)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2017.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (47 papers)
-
Front Matter
-
Applied Data Science Track
-
Front Matter
-
Other volumes
-
Machine Learning and Knowledge Discovery in Databases
-
Machine Learning and Knowledge Discovery in Databases
-
Machine Learning and Knowledge Discovery in Databases
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)
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.
Editors and Affiliations
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 III
Editors: Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, … Sašo Džeroski
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-71273-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-71272-7Published: 30 December 2017
eBook ISBN: 978-3-319-71273-4Published: 29 December 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXV, 448
Number of Illustrations: 144 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