Education data oriented workflow method

Abstract

The invention discloses an education data oriented workflow method, which comprises the following steps of: firstly preprocessing education log data to obtain an education data log statistical analysis table; secondly, constructing a relation matrix 1, and generating a workflow network N1 in combination with an alpha algorithm, wherein isolated points exist in the workflow network N1; constructinga relation matrix 2, and generating the workflow network N2 in combination with the alpha algorithm, wherein isolated points exist in the workflow network N2; constructing a relation matrix 3, and generating the workflow network N3 by combining the alpha algorithm, wherein isolated points exist in the workflow net N3; defining a log order relation 4, constructing a relation matrix 4, and generating the workflow net N4 without the isolated points by combining the alpha algorithm; and according to the workflow network N4, constructing a connection relationship between activities, calculating the navigation degree and authority degree of each activity, and finally improving the activity with unreasonable design in the workflow network. By means of the method, better support is provided for analysis and monitoring of the workflow net.

Description

technical field [0001] The invention belongs to the technical field of workflow, and in particular relates to a workflow method for educational data logs. Background technique [0002] The application of information technology and the establishment of educational information system provide the basis for collecting log data. In the era of big data, these log data are of great significance for improving the corresponding system and business design. The traditional business process is carried out completely in accordance with the design ideas of software engineers, and the participation of users is only reflected in the acquisition of requirements, and is not combined with the actual data of user operations. Therefore, the combination of log data and business knowledge is of great significance for optimizing existing business processes. [0003] Log data analysis business process issues, there have been many researches at home and abroad. In 1998, Agrawal first proposed a wor...

AI Technical Summary

Problems solved by technology

Two-stage methods cannot express preference during the discovery process, and are generally slower to run than the alpha algorithm and variants

Computational intelligence methods can only obtain an individual (model) with acceptable quality as the number of iterations changes, and the process is more complicated

There are also various problems in the original α algorithm, such as invisible tasks, 1-cycle (like...aa...), 2-cycle (like...aba...) problems, etc.

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