Social Computing, Behavioral-Cultural Modeling and Prediction [electronic resource] : 4th International Conference, SBP 2011, College Park, MD, USA, March 29-31, 2011. Proceedings / edited by John Salerno, Shanchieh Jay Yang, Dana Nau, Sun-Ki Chai.
By: Salerno, John [editor.].
Contributor(s): Yang, Shanchieh Jay [editor.] | Nau, Dana [editor.] | Chai, Sun-Ki [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6589Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XIII, 384 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642196560.Subject(s): Computer science | Computer Communication Networks | Data mining | Information systems | 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)DDC classification: 004 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, March 29-31, 2011. The 48 papers and 3 keynotes presented in this volume were carefully reviewed and selected from 88 submissions. The papers cover a wide range of topics including social network analysis; modeling; machine learning and data mining; social behaviors; public health; cultural aspects; and effects and search.
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This book constitutes the refereed proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, March 29-31, 2011. The 48 papers and 3 keynotes presented in this volume were carefully reviewed and selected from 88 submissions. The papers cover a wide range of topics including social network analysis; modeling; machine learning and data mining; social behaviors; public health; cultural aspects; and effects and search.
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