Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining
Summary: Open, extensible test bed for benchmarking frequent, maximal, and sequential pattern mining. Synthetic data generator; key methods (Apriori, FP-growth, MaxMiner, GSP, FreeSpan); and an uploadable service for reproducible, web-accessible comparisons. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jian Pei (Simon Fraser University)
- 2. Runying Mao (Simon Fraser University)
- 3. Kan Hu (DBMiner Technology Inc.)
- 4. Hua Zhu (DBMiner Technology Inc.)
BibTeX Citation
@inproceedings{pei_sigmod00,
title = {{Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining}},
author = {Pei, Jian and Mao, Runying and Hu, Kan and Zhu, Hua},
series = {{SIGMOD} '00},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/342009.336572},
url = {https://dl.acm.org/doi/10.1145/342009.336572},
year = {2000}
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