Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10358)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MLDM 2017.
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About this book
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
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Keywords
- data mining
- machine learning
- natural language processing
- social network analysis
- topic modeling
- anomaly detection
- association rule
- bayesian network
- big data
- case-based reasoning
- cellular networks
- clustering
- ensemble methods
- feature extraction
- fuzzy logic
- information retrieval
- sequential pattern mining
- similarity measures
- spatial data mining
- SVM
Table of contents (31 papers)
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Front Matter
Other volumes
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Machine Learning and Data Mining in Pattern Recognition
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Data Mining in Pattern Recognition
Book Subtitle: 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings
Editors: Petra Perner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-62416-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-62415-0Published: 04 July 2017
eBook ISBN: 978-3-319-62416-7Published: 01 July 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 452
Number of Illustrations: 129 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Pattern Recognition, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Database Management