Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Process Recommendation Method Based on Graph Mining and Graph Distance

A process recommendation and graph mining technology, applied in the field of process automation, can solve problems such as the inability to support complex processes and the limited practicality of process recommendation methods

Active Publication Date: 2016-12-28
ZHEJIANG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the disadvantages of the existing process recommendation method, such as limited practicality and being unable to support complex processes including loop structures, the present invention provides a novel process recommendation method based on graph mining and graph distance

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
  • Process Recommendation Method Based on Graph Mining and Graph Distance
  • Process Recommendation Method Based on Graph Mining and Graph Distance
  • Process Recommendation Method Based on Graph Mining and Graph Distance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] The process recommendation method based on graph mining and graph distance is used to realize the automation of process modeling. The system architecture is as follows: figure 1 , including the following modules:

[0047] User interface 1: This module mainly deals with user input and output, and provides interactive functions for users, including uploading of process files (process sets) and process modeling by modelers.

[0048] Preprocessing module 2: This module abstracts the input process set into a directed graph form, and the process set is a collection of several processes. The process mentioned here includes: process flow, that is, various processes from raw materials to finished products Arranged procedures; business process, that is, the process of completing a complete business behavior by two or more business steps, which can be called a process, note that it is two or more business steps; and business process, that is, things in progress The arrangement an...

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 relates to the field of flow automation, and discloses a graph mining and graph distance-based flow recommendation method. The method specifically comprises the following steps: preprocessing, i.e., abstractly labeling an input flow set in the form of a directed graph to obtain a flow sub-graph; discovering a pattern, i.e., decomposing a set output by the preprocessing step to obtain an upstream sub-graph, a candidate node set and confidence by a sub-graph mining and decomposing module, registering the upstream sub-graph, the candidate node set and the confidence as data entries in a pattern list; recommending a flow, i.e., acquiring a reference flow by a recommendation module, comparing the reference flow with the upstream sub-graph in the pattern list, selecting the most matched data entry, and outputting the candidate node corresponding to the most matched data entry as the recommended flow. The method has the advantages of high recommendation efficiency, smaller calculation complexity of the algorithm, high recommendation accuracy, capability of supporting the processing of a complex structure flow and higher application value.

Description

technical field [0001] The invention relates to the field of process automation, in particular to a process recommendation method based on graph mining and graph distance. Background technique [0002] Fast and efficient business process modeling is an important criterion to measure whether a modern enterprise can cope with the changing enterprise environment. However, business process modeling is an extremely complex and time-consuming task, which requires modelers not only to have professional domain knowledge, but also to be familiar with the execution process, execution sequence and exception handling of various business activities. Currently, business intelligence (BI)-based techniques, such as process mining and process retrieval, are used to assist process modeling. Process mining technology uses data mining technology to discover processes from the process library or event log as a modeling reference; process retrieval technology retrieves similar process fragments ...

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 Patents(China)
IPC IPC(8): G06Q10/06
Inventor 邓水光王东京李莎吴健李莹尹建伟吴朝晖
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com