Foundations of Intelligent Systems: Lecture Notes in Computer Science, cartea 9384
Editat de Floriana Esposito, Olivier Pivert, Mohand-Said Hacid, Zbigniew W. Rás, Stefano Ferillien Limba Engleză Paperback – 5 oct 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: 492
Ilustrații: XXIII, 466 p. 78 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.74 kg
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319252518
Pagini: 492
Ilustrații: XXIII, 466 p. 78 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.74 kg
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
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.
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.