Social Computing, Behavioral - Cultural Modeling and Prediction [electronic resource] : 5th International Conference, SBP 2012, College Park, MD, USA, April 3-5, 2012. Proceedings / edited by Shanchieh Jay Yang, Ariel M. Greenberg, Mica Endsley.
Tipo de material:
TextoSeries Lecture Notes in Computer Science, 7227Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Descripción: XIV, 366p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642290473Trabajos contenidos: SpringerLink (Online service)Tema(s): Computer science | Computer Communication Networks | Data mining | Social sciences -- Data processing | Information Systems | Computer Science | Computers and Society | Computer Appl. in Social and Behavioral Sciences | Management of Computing and Information Systems | Data Mining and Knowledge Discovery | Computer Communication Networks | Information Systems Applications (incl. Internet)Formatos físicos adicionales: Sin títuloClasificación CDD: 004 Clasificación LoC:Libro electrónicoRecursos en línea: de clik aquí para ver el libro electrónico Springer eBooksResumen: This book constitutes the refereed proceedings of the 5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, in April 2012. The 43 revised papers presented in this volume were carefully reviewed and selected from 76 submissions. The papers cover a wide range of topics including economics, public health, and terrorist activities, as well as utilize a broad variety of methodologies, e.g., machine learning, cultural modeling and cognitive modeling.
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This book constitutes the refereed proceedings of the 5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, in April 2012. The 43 revised papers presented in this volume were carefully reviewed and selected from 76 submissions. The papers cover a wide range of topics including economics, public health, and terrorist activities, as well as utilize a broad variety of methodologies, e.g., machine learning, cultural modeling and cognitive modeling.
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