Kwang-Hoon Kim, Journal of Internet Computing and Services, Vol. 13, No. 2, pp. 109-118, Apr. 2012
10.7472/jksii.2012.13.2.109, Full Text:  HTML
Keywords: Workflow, business process, Workflow Intelligence, Affiliation Network, Knowledge Discovery Algorithm

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.

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