Ke Lu

Orcid: 0000-0002-0792-2628

Affiliations:
  • Anhui University of Science and Technology, School of Mathematises and Big Data, Huainan, China


According to our database1, Ke Lu authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Explainable Multi-perspective Business Process Anomaly Detection Method Based on Graph Neural Networks.
ACM Trans. Manag. Inf. Syst., March, 2026

BPMGLAM: A Predictive Business Process Monitoring Framework Based on Graph Contrastive Learning and Attention Mechanisms.
Concurr. Comput. Pract. Exp., January, 2026

Behaviour Anonymous Method of Business Process Based on Log Skeleton.
Comput. Informatics, 2026

2025
Business Process Anomaly Behavior Detection Method Based on Multiperspective Association Rules.
Concurr. Comput. Pract. Exp., May, 2025

An interpretable deep fusion framework for event log repair.
Inf. Syst., 2025

2024
An overview of semantic-based process mining techniques: trends and future directions.
Knowl. Inf. Syst., October, 2024

Multimodal deep learning model for Covid-19 detection.
Biomed. Signal Process. Control., 2024

2022
Discovery of effective infrequent sequences based on maximum probability path.
Connect. Sci., 2022

Online incremental updating for model enhancement based on multi-perspective trusted intervals.
Connect. Sci., 2022

2021
Online Incremental Mining Based on Trusted Behavior Interval.
IEEE Access, 2021


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