New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers

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.

Résumé

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.

Détails du produit

• Collaboration: Michelangelo Ceci (Editeur), Corrad Loglisci (Editeur), Corrado Loglisci (Editeur), Giuseppe Manco (Editeur), Giuseppe Manco et al (Editeur), Elio Masciari (Editeur), Zbigniew W. Ras (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 01.01.2016
• EAN: 9783319393148
• ISBN: 978-3-31-939314-8
• Pages: 239
• Dimensions: 155 mm x 16 mm x 234 mm
• Poids: 388 g
• Illustrations: X, 239 p. 57 illus.
• Thèmes: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; 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