DocumentCode :
2251134
Title :
The Research of Process Mining Assessment Used in Business Intelligence
Author :
Wang, Zhenyu ; Yao, Qing ; Sun, Yuqing
Author_Institution :
Dept. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear :
2012
fDate :
May 30 2012-June 1 2012
Firstpage :
179
Lastpage :
183
Abstract :
In order to do process mining better in the Business Intelligence environment, the proper process mining model and the right evaluation method to assess the mining results become the key issues. This paper is based on both theoretical and technological achievements in process mining area, putting forward a process mining model under event log mode, providing the analysis process of selecting evaluation indicators by AHP, and gives out a set of formulas for assessing process instance combined with the vector model. For illustration, a case recorded by an insurance company handling claims lodged over the phone is utilized to show the feasibility of the given model and the formulas in solving assessment problems. Empirical results is presented as numerical data by formula assessing effectively to the new process records under specific target, it can be displayed directly for its consequence, process screening and classification, including excavation work for the follow-up by the threshold value setting can evaluate the process improvement and provide basis for decision making in further process mining work.
Keywords :
competitive intelligence; data mining; decision making; insurance data processing; pattern classification; AHP; business intelligence environment; decision making; evaluation indicator selection analysis process; event log mode; excavation work; insurance company claim handling; process classification; process improvement evaluation; process mining assessment; process mining model; process screening; threshold value setting; vector model; Analytical models; Bismuth; Business; Data mining; Data models; Indexes; Vectors; AHP; WPPDD; assessment; process mining; vector model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
Type :
conf
DOI :
10.1109/ICIS.2012.109
Filename :
6211094
Link To Document :
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