Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10312)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: NFMCP 2016.
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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 (16 papers)
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Feature Selection and Induction
-
Classification and Prediction
-
Clustering
Other volumes
-
New Frontiers in Mining Complex Patterns
Editors and Affiliations
Bibliographic Information
Book Title: New Frontiers in Mining Complex Patterns
Book Subtitle: 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers
Editors: Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Raś
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-61461-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-61460-1Published: 04 July 2017
eBook ISBN: 978-3-319-61461-8Published: 01 July 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 263
Number of Illustrations: 66 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Artificial Intelligence