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Titlebook: Social Computing and Behavioral Modeling; Michael J. Young,John Salerno,Huan‘Liu Conference proceedings 2009 The Editor(s) (if applicable)

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書(shū)目名稱(chēng)Social Computing and Behavioral Modeling
編輯Michael J. Young,John Salerno,Huan‘Liu
視頻videohttp://file.papertrans.cn/870/869352/869352.mp4
概述Integrates an interdisciplinary audience comprised of researchers, practitioners, and graduate students from social science, behavioral science, computer science, psychology, cultural study, informati
圖書(shū)封面Titlebook: Social Computing and Behavioral Modeling;  Michael J. Young,John Salerno,Huan‘Liu Conference proceedings 2009 The Editor(s) (if applicable)
描述Social computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment of various - cial activities. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and inter- pendent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nati- states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines, social computing, and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodo- gies in terms of social, physical, psychological, and governmental mechanisms. The goal is to enable us to experiment, create, and recreate an operational environment with a better understanding of the contributions from each indivi
出版日期Conference proceedings 2009
關(guān)鍵詞Computer; Evaluation; Pattern Mining; Sage; classification; computational cultural study; group profiling
版次1
doihttps://doi.org/10.1007/978-1-4419-0056-2
isbn_softcover978-1-4419-5491-6
isbn_ebook978-1-4419-0056-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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https://doi.org/10.1007/978-1-4419-0056-2Computer; Evaluation; Pattern Mining; Sage; classification; computational cultural study; group profiling
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Rule Evaluation Model as Behavioral Modeling of Domain Experts, of five representative learning algorithms to construct rule evaluation models of the actual data mining results from a chronic hepatitis data set. Further, we discuss the relationship between the transitions of the subjective criteria of a medical expert and the rule evaluation models.
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nce, computer science, psychology, cultural study, informatiSocial computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing o
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