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Record Nr. |
UNISA996198265003316 |
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Titolo |
Brain Informatics and Health [[electronic resource] ] : International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings / / edited by Dominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XVIII, 597 p. 230 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 8609 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Pattern recognition |
Application software |
Optical data processing |
User interfaces (Computer systems) |
Information storage and retrieval |
Artificial Intelligence |
Pattern Recognition |
Information Systems Applications (incl. Internet) |
Image Processing and Computer Vision |
User Interfaces and Human Computer Interaction |
Information Storage and Retrieval |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Brain understanding -- Cognitive modelling -- Brain data analytics -- Health data analytics -- Brain informatics and data management -- Semantic aspects of biomedical analytics -- healthcare technologies and systems -- Analysis of complex medical data -- Understanding of information processing in brain -- Neuroimaging data processing strategies -- Advanced methods of interactive data mining for personalized medicine. |
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Sommario/riassunto |
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This book constitutes the proceedings of the International Conference |
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on Brain Informatics and Health, BIH 2014, held in Warsaw, Poland, in August 2014, as part of 2014 Web Intelligence Congress, WIC 2014. The 29 full papers presented together with 23 special session papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on brain understanding; cognitive modelling; brain data analytics; health data analytics; brain informatics and data management; semantic aspects of biomedical analytics; healthcare technologies and systems; analysis of complex medical data; understanding of information processing in brain; neuroimaging data processing strategies; advanced methods of interactive data mining for personalized medicine. |
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