@article{oai:senshu-u.repo.nii.ac.jp:00007637,
 author = {Kobayashi, Takashi},
 journal = {Information Science and Applied Mathematics},
 month = {},
 note = {It is generally known that knowledge work processes include a lot of exception handling, and are non-repeated and unpredictable. Therefore, in case of applying process mining techniques to these processes, critical issues are generating stable business logic models and defining behavior metrics to assess exception handling. In order to resolve these issues, this paper proposes a business state model consisting of following two structures. The essential structure is constructed by abstracting only stable core events and by configuring a state transition model with them. The incidental structure is constructed by embedding the other changeable events into each state of this model and by defining behavior metrics with event attributes and their context information.The proposed model was implemented as a software tool and confirmed by applying to the real consumer loan approval process in a financial institute.},
 pages = {1--12},
 title = {Business State Model for Knowledge Work Process Mining},
 volume = {22},
 year = {2014}
}