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http://dx.doi.org/10.7472/jksii.2012.13.2.109

A Workflow-based Affiliation Network Knowledge Discovery Algorithm  

Kim, Kwang-Hoon (경기대학교 일반대학원 컴퓨터과학과)
Publication Information
Journal of Internet Computing and Services / v.13, no.2, 2012 , pp. 109-118 More about this Journal
Abstract
This paper theoretically derives an algorithm to discover a new type of workflow-based knowledge from workflow models, which is termed workflow-based affiliation network knowledge. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict a series of workflow-based knowledge from workflow models and their execution histories. So, this paper proposes a knowledge discovery algorithm which is able to discover workflow-based affiliation networks that represent the association and participation relationships between activities and performers defined in ICN-based workflow models. In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to derive its corresponding workflow-based affiliation network knowledge.
Keywords
Workflow; Business Process; Workflow Intelligence; Affiliation Network; Knowledge Discovery Algorithm;
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