Natural Language Labels for Process Non-Conformance Patterns
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Solution Overview
Problem
Conventional conformance checking in process mining is time-consuming and labor-intensive due to manual comparison of event logs with process models.
Innovation Solution
Automatically assign natural language labels to types of non-conforming behavior in processes using rule-based pattern matching, machine learning, or pattern recognition techniques, identifying and labeling skipped, repeated, and loop-back activities in aligned processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual comparison of event logs with process models is performed, then conformance checking can be conducted, but it is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical comparison process with an automated computer-based system that uses algorithmic pattern matching to compare event logs with process models, eliminating the need for human analysts to manually perform the comparison while maintaining accurate conformance checking
Solution Approach 2:
The system enables self-service conformance checking by automatically performing the entire analysis process without human intervention - the computer system independently loads data, performs pattern matching, identifies non-conforming behavior, and generates results, freeing analysts from this repetitive task
2Measurement precision
If manual comparison of event logs with process models is performed, then conformance checking can be conducted, but it is labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical comparison process with an automated computer-based system that uses algorithmic pattern matching to compare event logs with process models, eliminating the need for human analysts to manually perform the comparison while maintaining accurate conformance checking
Solution Approach 2:
The patent introduces an intermediary automated analysis system that acts as a mediator between the event logs and process models, performing the complex pattern matching and comparison tasks that would otherwise require significant human effort, thereby improving productivity
3Loss of time
If automated label assignment is implemented, then time and effort for conformance checking is reduced, but system complexity increases
Solution Approach 1:
The patent segments the conformance checking process into distinct automated components: data loading, pattern matching, non-conforming behavior identification, and label assignment. This modular approach manages system complexity by breaking down the automated system into manageable, independent functional modules
Solution Approach 2:
The patent uses copying by creating standardized label templates and pattern rules that can be repeatedly applied to different datasets. Once the automated system is configured with these templates, it can efficiently process multiple conformance checking tasks without requiring proportional increases in system complexity
Data Source
AI summary
Systems and methods for automatically assigning labels to one or more types of non-conforming behavior of execution of a process are provided. An aligned process defining non-conforming behavior of execution of a process is received. One or more types of the non-conforming behavior of the execution of the process is identified from the aligned process. Labels identifying the one or more types are assigned to the non-conforming behavior. The labels assigned to the non-conforming behavior are output.