Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10609)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): SISAP: International Conference on Similarity Search and Applications
Conference proceedings info: SISAP 2017.
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Table of contents (23 papers)
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Front Matter
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Approximate Similarity Search
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Front Matter
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Improving Similarity Search Methods and Applications
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Front Matter
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Indexing and Applications
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Front Matter
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About this book
The 23 full papers presented were carefully reviewed and selected from 53 submissions. The papers deal with issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. They are organized in the following topical sections: approximate similarity search; improving similarity search methods and applications; distances for complex objects; outlier detection; indexing and applications; and applications and specific domains.
The paper 'A New Perspective on the Tree Edit Distance' is published open access under a CC BY 4.0 license at link.springer.com.
Keywords
- applications
- approximate similarity search
- artificial intelligence
- classification
- data mining
- databases
- feature selection
- finite element method
- image processing
- indexing (of information)
- information retrieval
- learning systems
- pattern recognition
- probability
- query languages
- query processing
- search engines
- similarity search
- software engineering
- telecommunication networks
Editors and Affiliations
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Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany
Christian Beecks
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Ludwig-Maximilians-Universität München, Munich, Germany
Felix Borutta, Peer Kröger, Thomas Seidl
Bibliographic Information
Book Title: Similarity Search and Applications
Book Subtitle: 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings
Editors: Christian Beecks, Felix Borutta, Peer Kröger, Thomas Seidl
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-68474-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-68473-4Published: 29 September 2017
eBook ISBN: 978-3-319-68474-1Published: 25 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 333
Number of Illustrations: 102 b/w illustrations
Topics: Information Storage and Retrieval, Artificial Intelligence, Image Processing and Computer Vision, Pattern Recognition, Software Engineering, Probability and Statistics in Computer Science