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Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings: Lecture Notes in Computer Science, cartea 9384

Editat de Floriana Esposito, Olivier Pivert, Mohand-Said Hacid, Zbigniew W. Rás, Stefano Ferilli
en Limba Engleză Paperback – 5 oct 2015
This book constitutes the refereed proceedings of the 22ndInternational Symposium on Methodologies for Intelligent Systems, ISMIS 2015,held in Lyon, France, in October 2015.
The 31 revised full papers presented together with 18short papers were carefully reviewed and selected from 67 submissions. Thepapers are organized in topical sections on data mining methods; databases,information retrieval, recommender systems; machine learning; knowledgerepresentation, semantic web; emotion recognition, music information retrieval;network analysis, multi-agent systems; applications; planning, classification;and textual data analysis and mining.
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Specificații

ISBN-13: 9783319252513
ISBN-10: 3319252518
Pagini: 466
Ilustrații: XXIII, 466 p. 78 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.68 kg
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Data mining methods.- Databases, information retrieval, recommender systems.- Machine learning.- Knowledge representation, semantic web.- Emotion recognition, music information retrieval.- Network analysis, multi-agent systems.- Applications.- Planning, classification.- Textual data analysis and mining.

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 22ndInternational Symposium on Methodologies for Intelligent Systems, ISMIS 2015,held in Lyon, France, in October 2015.
The 31 revised full papers presented together with 18short papers were carefully reviewed and selected from 67 submissions. Thepapers are organized in topical sections on data mining methods; databases,information retrieval, recommender systems; machine learning; knowledgerepresentation, semantic web; emotion recognition, music information retrieval;network analysis, multi-agent systems; applications; planning, classification;and textual data analysis and mining.

Caracteristici

Includes supplementary material: sn.pub/extras