CTrace: Semantic Comparison of Multi-Granularity Process Traces
Summary: CTrace enables exploration of heterogeneous process traces by multi-granularity abstraction. It enables semantic comparison of traces by jointly modeling structural and semantic similarity, with efficient multi-granularity algorithms for diverse sources. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Qing Liu (Commonwealth Scientific and Industrial Research Organisation)
- 2. Kerry Taylor (Commonwealth Scientific and Industrial Research Organisation)
- 3. Xiang Zhao (University of New South Wales)
- 4. Geoffrey Squire (Commonwealth Scientific and Industrial Research Organisation)
- 5. Xuemin Lin (University of New South Wales)
- 6. Corne Kloppers (Commonwealth Scientific and Industrial Research Organisation)
BibTeX Citation
@inproceedings{liu_sigmod13,
title = {{CTrace: Semantic Comparison of Multi-Granularity Process Traces}},
author = {Liu, Qing and Taylor, Kerry and Zhao, Xiang and Squire, Geoffrey and Lin, Xuemin and Kloppers, Corne},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465268},
url = {https://dl.acm.org/doi/10.1145/2463676.2465268},
year = {2013}
}
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