Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9729)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MLDM 2016.
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About this book
This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia 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 (60 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: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
Editors: Petra Perner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-41920-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-41919-0Published: 28 June 2016
eBook ISBN: 978-3-319-41920-6Published: 27 June 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 807
Number of Illustrations: 291 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