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Operation process digging method suitable for diversified environment

A business process and diversity technology, applied in data processing applications, special data processing applications, other database retrievals, etc., to reduce log diversity, improve comprehensive quality, and optimize mining results.

Active Publication Date: 2015-03-25
FUDAN UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The method of the present invention first classifies the execution instances in the log based on domain knowledge, thereby solving the problem of log diversity

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  • Operation process digging method suitable for diversified environment
  • Operation process digging method suitable for diversified environment
  • Operation process digging method suitable for diversified environment

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Embodiment Construction

[0027] The technical scheme of the present invention will be described below in conjunction with the accompanying drawings. The frame diagram of an efficient business process mining method suitable for diverse environments provided by the present invention is as follows figure 1 shown.

[0028] (1) Log classification method based on domain knowledge

[0029] Log classification is to group the execution instances (a series of activity sequences) in the log according to the classification conditions to form multiple sub-logs. Classification can reduce the diversity of logs, simplify the application environment of mining algorithms, and allow the characteristics and advantages of mining algorithms to be fully utilized. The information related to the activity is recorded in the operation log, such as: the executor of the activity, the execution time or the data information processed by the activity. These data information have important guiding significance for process log clas...

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Abstract

The invention discloses an operation process digging method suitable for diversified environment. The method mainly comprises the following steps: (1) classifying logs based on field knowledge, and grouping executing embodiments in the logs according to the field knowledge so as to form a plurality of sub-logs; (2) preparing a superior initial population by utilizing varied digging algorithms; (3) integrating the superior initial population based on a procedural model of a genetic algorithm so as to obtain an optimized operation procedural model. The method disclosed by the invention has the benefits that the diversity of the logs can be decreased through log classifying, and the application environment of the digging algorithm is simplified, so that characteristics and advantages of the digging algorithm can be full used; besides, a final digging result has higher comprehensive quality by regulating the weight distribution of a fitness function.

Description

technical field [0001] The invention belongs to the technical field of business process mining, and in particular relates to a business process mining method suitable for diverse environments. Background technique [0002] After a company develops through expansion, mergers and acquisitions, it often has many subsidiaries across the country. The same type of business process is independently established and maintained in each subsidiary, which often leads to multiple different versions of the same type of business process within the enterprise, which brings severe challenges to the unified management of the enterprise. In order to build and manage these business processes uniformly, it is necessary to dig out a unified business process from the running logs of these different versions of the processes. [0003] In fact, mining a unified business process is not an easy task. Especially for a large-scale enterprise, due to its many subsidiaries, the internal environment (suc...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q10/06G06N3/12
CPCG06F16/90G06N3/12G06Q10/0633
Inventor 张亮杨丽琴康国胜
Owner FUDAN UNIV