%0 Journal Article
%T USING INCREMENTAL MULTI PERSPECTIVE PROCESS MINING ALGORITHM IN PROCESS ANALYSIS OF CSCW SYSTEMS
%A TAHEREH SADAT MOUSAVI* and AHMAD BARAANI DASTJERDI
%J Advances in Information Mining
%D 2011
%I 
%X In CSCW systems, the end results are subject on how personnel participate and work specifically in a flexibledynamic environment. Thus, it has become imperative to develop a comprehensive system whereby the analysts canunderstand and analyze the workflow in order to enhance personnel support, cooperation processes and the final results. Inother to achieve this goal, a system whereby individual and groups send feedbacks to the personnel are advocated. Ifanalysts have access to the workflow and personnel information during the execution of work, they will be able to achievethe above-mentioned goals faster through analysis and sending feedback, especially in operational environments in whichtime is important. In this article, an Incremental Process-mining technique is presented to increase efficiency in a multiperspective process model during the execution of work. This technique is integrated within the ProM6 framework. Theresults obtained from the proposed algorithm which is based on criteria such as Fitness, Cost-Based Fitness etc tends toagree with alpha algorithm.
%K Computer Supported Cooperative Work
%K Process Mining
%K Process Mining Perspectives
%U http://www.bioinfo.in/uploadfiles/13270484803_1_3_AIM.pdf