Crisscrossed mixed resource allocation rule mining method

A resource allocation, criss-cross technology, applied in the field of criss-cross hybrid resource allocation rule mining, can solve problems such as single processing method of workflow logs

Inactive Publication Date: 2016-10-26
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0012] Based on the above discussion, it can be seen that as an emerging research direction in the field of workflow knowledge discovery, the research on workflow resource allocation by domestic and foreign researchers is still in its infancy, and the processing methods for workflow logs are relatively simple.
As far as the author's research knows, there is currently no method for processing and representing the vertical execution logic and horizontal transaction logic of the workflow log, and there are even fewer methods for global rule discovery and search based on this

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Embodiment Construction

[0027] according to figure 1 As shown, a kind of criss-crossing hybrid resource allocation rule mining method proposed by the present invention comprises the following steps:

[0028] Step A, the workflow log is represented by a five-tuple of process, task, resource, workflow instance and timestamp;

[0029] Step B. Decompose the workflow log with the transaction as the basic unit to obtain the horizontal event view of the workflow log

[0030] Step C. Decompose the workflow log by taking the workflow instance as the basic unit to obtain the longitudinal case view of the workflow log

[0031] Step D, based on the occurrence frequency prob and the preconditions of the current activity, respectively perform resource allocation rule mining on the above two log views;

[0032] Step E, globally screening and sorting the resource allocation rules based on the causal conditional probability conf method to obtain globally optimized resource allocation rules.

[0033] In the afore...

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Abstract

The invention provides a mixed resource allocation rule mining method based on a crisscrossed method, and is to obtain more accurate resource allocation knowledge from a workflow log. The method is characterized by, with an event and a case as a basic transaction unit, carrying out processing of the workflow log to obtain a transverse event view and a longitudinal case view of the workflow log; carrying out data mining on the two log views based on an association rule mining method and the result above to obtain association rules under different log views; and on the basis of the result above, screening all the rules by utilizing preconditions of the current workflow task, and carrying out comprehensive ranking on the association rules mined under the two views according to support degree and confidence. Compared with a single-log-structure process mining method, the provided crisscrossed mixed resource allocation rule mining method can obtain higher-accuracy resource allocation rules.

Description

technical field [0001] The present invention relates to the field of knowledge discovery of business processes, and aims at the discovery of resource allocation rules in process-aware information systems before task execution. Resource allocation rule mining method, so as to recommend the execution resources of workflow tasks before instantiation during task allocation. Background technique [0002] The resource allocation tasks of most current workflow-driven information systems are still organized through the conventional resource classification method, that is, role / organization. Workflow resources are mainly classified through the intersection of workflow resource roles and organizational unit attributes. Therefore, all workflow resources are divided into resource subsets, so that workflow managers can allocate resources conveniently. In fact, the resource categories obtained by this method based on resource classification usually have a large granularity, and there is ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/0633
Inventor 刘庭煜汪惠芬
Owner NANJING UNIV OF SCI & TECH
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