New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.  

List of contents

Feature selection and induction.- Classification and
prediction.- Clustering.- Pattern discovery.- Applications.

Summary

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.  

Product details

• Assisted by: Annalisa Appice (Editor), Michelangel Ceci (Editor), Michelangelo Ceci (Editor), Corrado Loglisci (Editor), Corrado Loglisci et al (Editor), Elio Masciari (Editor), Zbigniew W. Ra¿ (Editor), Zbigniew W. Ras (Editor), Zbigniew W. Raś (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 31.07.2017
• EAN: 9783319614601
• ISBN: 978-3-31-961460-1
• No. of pages: 263
• Dimensions: 158 mm x 17 mm x 235 mm
• Weight: 446 g
• Illustrations: XIV, 263 p. 66 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Künstliche Intelligenz, Data Mining, Datenbanken, Artificial Intelligence, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Wissensbasierte Systeme, Expertensysteme, computer science, Information Retrieval, Supervised Learning, Support Vector Machines, Database Management, Network Analysis, VALIDATION, database programming, Data Mining and Knowledge Discovery, Expert systems / knowledge-based systems, Information Storage and Retrieval, Databases, Time Series Analysis, semantic similarity measures, text mining heuristics, multi-task learning