Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
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Predicting the popularity of TV-show through text mining of tweets: A Drama Case in South Korea

  • Kim, Do Yeon (Department of Information Security Management, Chungbuk National University) ;
  • Kim, Yoosin (Department of Management Information System, BK21+ BSO, Chungbuk National University) ;
  • Choi, Sang Hyun (Department of Management Information System, BK21+ BSO, Chungbuk National University)
  • Received : 2016.05.09
  • Accepted : 2016.07.31
  • Published : 2016.10.31
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Abstract

This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensive workflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracing mode on data-intensive workflow designer. We could design data-intensive workflow using drag and drop in editable-mode, otherwise we could not design but view and trace workflow model in tracing mode. We would like to focus on tracing-mode for workflow validation, and describe how to use workflow tracing on data-intensive workflow model designer. Especially, it is support data centered operation about control logics and exchange variables on workflow runtime for workflow tracing.

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References

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