Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10785)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: NFMCP 2017.
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Table of contents (13 papers)
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New Frontiers in Mining Complex Patterns
Keywords
About this book
This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.
The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics.
Editors and Affiliations
Bibliographic Information
Book Title: New Frontiers in Mining Complex Patterns
Book Subtitle: 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers
Editors: Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-78680-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-78679-7Published: 24 March 2018
eBook ISBN: 978-3-319-78680-3Published: 27 March 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 197
Number of Illustrations: 57 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Arithmetic and Logic Structures, Computer Appl. in Social and Behavioral Sciences, Artificial Intelligence