Log-induced morphological fragment process combination clustering method

Abstract

The invention discloses a log-induced morphological fragment process combination clustering method. According to the method, by analyzing the general characteristics of log behaviors in service process management systems, multiple similar logs are clustered, common features of the service systems of the same type are extracted, and the purpose of fusing services with similar processes is achieved.Through the method, one similarity problem in the service processes is converted from the problem that ordinary similarity research mainly focuses on the aspect of process model similarity measurement to the problem that a clustering center of multiple similar processes or logs is calculated by extracting the general characteristics of the multiple similar processes or logs, the common features of fragments are considered, and a service process combination algorithm is utilized to perform service process fusion on equivalent morphological fragments. Through the morphological fragment extraction detection and process combination algorithm, the clustering center of the multiple processes or logs can be calculated, the purpose of service fusion is achieved, and the existing application rangeof configuring the service processes through the logs is expanded.

Description

technical field [0001] The invention belongs to the field of business process management, and relates to the extraction and detection of morphological fragments in event logs and a process combination clustering method based on morphological fragments. Background technique [0002] In the past few decades, most of the existing research conclusions have focused on identifying the differences in the fragments in the log to extract variable process fragments, configuring the process model through the log collection, and using event logs as input to configure the process fragments. Complexity introduced by models in process design. In today's ever-changing business environment, business process design has become a complex, time-consuming and error-prone task. In response to this problem, how to extract and configure process fragments in logs will be the key to future model design. [0003] With the advancement of time and the continuous development of enterprise business, busin...

AI Technical Summary

Problems solved by technology

[0003] With the advancement of time and the continuous development of enterprise business, business process models are updated day by day, which leads to more and more models and larger scales, which leads to larger and more complex business process models of enterprises. It is bound to increase the difficulty of analyzing the process model of the enterprise business

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