Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9607)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: NFMCP 2015.
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About this book
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015.
The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 submissions. Theyillustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: data stream mining, classification, mining complex data, and sequences.
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Keywords
- data mining
- ensemble methods
- knowledge discovery
- machine learning
- parallel algorithms
- classification
- clustering
- data stream mining
- feature selection
- first-order logic
- logic programming
- metalearning
- multi-task learning
- network analysis
- semantic similarity measures
- supervised learning
- support vector machines
- text mining heuristics
- time series analysis
- validation
Table of contents (15 papers)
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Data Stream Mining
Other volumes
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New Frontiers in Mining Complex Patterns
Editors and Affiliations
Bibliographic Information
Book Title: New Frontiers in Mining Complex Patterns
Book Subtitle: 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers
Editors: Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-39315-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-39314-8Published: 18 May 2016
eBook ISBN: 978-3-319-39315-5Published: 17 May 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 239
Number of Illustrations: 57 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Artificial Intelligence