Cross-organization multi-instance sub-process model mining method and system

A process model and example technology, which is applied in multi-programming devices, execution paradigms, program control design, etc., can solve the problems of low accuracy of mining models, and achieve the effect of improving model quality and broad prospects.

Pending Publication Date: 2021-09-03
北京杰成合力科技有限公司
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The first purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a cross-organization multi-instance sub-process model mining method, which solves the problem of the accuracy of traditional process mining technology for event log mining models with multi-instance sub-process information. low problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cross-organization multi-instance sub-process model mining method and system
  • Cross-organization multi-instance sub-process model mining method and system
  • Cross-organization multi-instance sub-process model mining method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0110] Such as figure 1 As shown, this embodiment discloses a cross-organization multi-instance sub-process model mining method, which uses the obtained life cycle event log to mine the nested relationship between tasks, obtains a nested relationship tree, and then analyzes the nested relationship between tasks Construct hierarchical event logs, traverse the sub-process event logs of each layer, identify and reconstruct sub-logs with multiple instances, and finally obtain a cross-organizational multi-instance sub-process model based on hierarchical event log mining, which includes the following steps:

[0111]1) Obtain basic data, including the life cycle event log of the cross-organization multi-instance sub-process; the life cycle event log of the cross-organization multi-instance sub-process is a life cycle event log with multi-instance sub-process information; the cross-organization The multi-instance sub-process means that an enterprise hands over part of its internal bus...

Embodiment 2

[0173] This embodiment discloses a cross-organization multi-instance sub-process model mining system, the system architecture is as follows Figure 5 As shown, it includes data acquisition module, activity nesting relationship construction module, hierarchical event log construction module and cross-organization multi-instance sub-process model mining module;

[0174] The data acquisition module is used to acquire a life cycle event log. The life cycle event log is a life cycle event log with multi-instance sub-process information, wherein each activity has two types of life cycle information: start and end;

[0175] The activity nesting relationship construction module is used to mine activity nesting relationship information from the life cycle event log to obtain a nested activity set, and then construct a nested relationship tree according to the nested relationship between activities and the nested activity set;

[0176] The layered event log construction module is used t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a cross-organization multi-instance sub-process model mining method and system, and the method comprises the following steps: 1) obtaining basic data, including a life cycle event log of a cross-organization multi-instance sub-process; 2) utilizing the obtained life cycle event log to mine a nesting relation between life cycle event log activities, and representing the nesting relation by a nesting relation tree; 3) constructing a hierarchical event log by using the nested relationship obtained by mining; 4) performing multi-instance identification and reconstruction on the sub-logs by utilizing the layered event log obtained by mining to obtain a reconstructed layered event log; and 5) mining a cross-organization multi-instance sub-process model from the reconstructed hierarchical event log. According to the invention, the limitation that a traditional process mining technology cannot support mining of multiple calling sub-processes in a cross-organization business scene is broken through, and the efficiency and effect of designing and modeling cross-organization multi-instance sub-processes in process mining are effectively improved.

Description

technical field [0001] The present invention relates to the technical field of business process management, in particular to a cross-organization multi-instance sub-process model mining method and system, which mainly aims at the problem that the current process mining technology is difficult to effectively mine cross-organization multi-instance sub-process models. Background technique [0002] Process mining can extract useful information from event log records commonly produced by modern information systems. This technology provides new means for process discovery, monitoring and improvement in various application fields. There are many process mining technologies such as: Alpha Miner, Inductive Miner et al. construct a flat process model to describe the behavior in the log by mining the sequence, concurrency, branch and circular dependencies between tasks. Given a cross-organizational business process, one organization handed over part of its business to another organizat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/448
CPCG06F9/485G06F9/4484G06F9/449
Inventor 刘聪王颖李彩虹陆婷何华
Owner 北京杰成合力科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap