Overview
- Up-to-date results
- Fast track conference proceedings
- State-of-the-art report
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9166)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MLDM 2015.
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Table of contents (31 papers)
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Front Matter
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Classification and Regression
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Front Matter
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Sentiment Analysis
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Front Matter
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Association and Sequential Rule Mining
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Front Matter
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Support Vector Machines
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Front Matter
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Other volumes
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Machine Learning and Data Mining in Pattern Recognition
Keywords
- Association rule mining
- Bayesian network
- Biclustering
- Big data
- Bioinformatics
- Data cloud geometry
- Data mining
- Ensemble method
- Genetic algorithms
- Image mining
- Knowledge discovery in databases
- Machine learning
- Ontology
- Recommendation
- Robust statistics
- Semi-supervised learning
- Social network analysis
- Support vector machines
- Uncertainty
- Visualization
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Data Mining in Pattern Recognition
Book Subtitle: 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings
Editors: Petra Perner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-21024-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-21023-0Published: 13 July 2015
eBook ISBN: 978-3-319-21024-7Published: 30 June 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 454
Number of Illustrations: 132 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Pattern Recognition, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Database Management, Artificial Intelligence