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Flow mining method facing to rule execution log

A process mining and rule technology, applied in the field of process mining for rule execution logs, can solve the problems of lack of adaptability of workflow models, time-consuming and laborious, and deviations in the running process of business logic models.

Active Publication Date: 2012-06-20
ZHEJIANG UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the design of the workflow model is a complex project involving all aspects, which requires not only rich experience in workflow model design, but also good communication skills (including continuous communication with staff and upper-level decision makers). exchange), so such a design is often time-consuming and laborious, and prone to error
At the same time, since it is up to the decision-makers of the company to decide which workflow model to adopt, it often has a certain degree of subjectivity.
Furthermore, the complexity of business logic may lead to deviations between the designed model and the actual operating process, and during actual operation, the business process is likely to be less adaptable to the workflow model due to changes in the environment or various factors. sex

Method used

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  • Flow mining method facing to rule execution log
  • Flow mining method facing to rule execution log
  • Flow mining method facing to rule execution log

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0030] In the present invention, consider such a situation, that is, the business rule engine and the workflow engine have been integrated into the business information system of the enterprise, and they cooperate with each other to help the enterprise to carry out efficient business flow and execution, that is, the activities in the business process flow through the work Driven by the flow engine, the execution of the business logic involved in the activities of each node in the process will be determined by the matching of business rules, that is, the execution of a series of business actions after any rule is satisfied. In such a situation, once the business information system starts running, the log information of the information system that traditional process mining relies on will be recorded by the process engine, and the rule log inf...

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Abstract

The invention discloses a flow mining method facing to a rule execution log, which comprises the following steps: 1) business rule engine; 2) XESame; and 3) Prom, wherein ProM is an open-sourcing mining framework and supports the flow mining in a plug-in board mode. A ''.xes'' file generated in step 2) serves as an input source, a plug-in board mode is used for an alpha-r method mining of the mining work, and finally, a flow mining result graph is formed by matching with Petri network modeling.

Description

technical field [0001] The invention belongs to the field of data mining, mainly aims at the traditional event log-based process mining technology, proposes a rule engine log-oriented process mining technology, and relates to a rule execution log-oriented process mining method. Background technique [0002] Workflow technology has played a positive role in optimizing the organization and management process of enterprises. Today, this technology has been widely used in various information systems of enterprises, including enterprise resource management (ERP) systems, customer relationship management (CRM) systems, Supply chain management (SCM) system, B2B system, etc. On the one hand, these information systems have indeed brought various competitive advantages to enterprises on the road of informatization construction; on the other hand, these information systems are generally driven by the displayed workflow model, that is, a workflow model must be designed in advance To ac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
Inventor 尹建伟曹斌邓水光李莹吴健吴朝晖
Owner ZHEJIANG UNIV
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