Predicting the popularity of TV-show through text mining of tweets: A Drama Case in South Korea

This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensiveworkflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracingmode on data-intensiveworkflow des...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Inteonet jeongbo hakoe nonmunji = Journal of Korean Society for Internet Information 2016-10, Vol.17 (5), p.131-139
Hauptverfasser: Do Yeon Kim, Yoosin Kim, Sang Hyun Choi
Format: Artikel
Sprache:kor
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensiveworkflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracingmode on data-intensiveworkflow 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.
ISSN:1598-0170
2287-1136