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A fast distributed algorithm for mining association rules
Abstract
With the existence of many large transaction databases, the huge amounts of data, the high scalability of distributed systems, and the easy partitioning and distribution of a centralized database, it is important to investigate efficient methods for distributed mining of association rules. The study discloses some interesting relationships between locally large and globally large item sets and proposes an interesting distributed association rule mining algorithm, FDM (fast distributed mining of association rules), which generates a small number of candidate sets and substantially reduces the number of messages to be passed at mining association rules. A performance study shows that FDM has a superior performance over the direct application of a typical sequential algorithm. Further performance enhancement leads to a few variations of the algorithm.
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Citations
Cited by
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Han, J., Cheng, H., Xin, D., & Yan, X. (2007) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-006-0059-1 · Cited by 1,380
Self-citationTools for privacy preserving distributed data mining
Clifton, C., Kantarcioglu, M., Vaidya, J., Lin, X., & Zhu, M. Y. (2002) · ACM SIGKDD Explorations Newsletter · doi:10.1145/772862.772867 · Cited by 890
Metadata
- Authors
- Cheung, D. W., Han, J., Ng, V. T., Fu, A. W., & Fu, Y.
- Venue
- Fourth International Conference on Parallel and Distributed Information Systems
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-24
- Pages
- 31-42
- OpenAlex
- W1906561224
- Cited by
- 432
- References
- 0
- FWCI
- 16.33
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A fast distributed algorithm for mining association rules. https://app.cochat.ai/papers/10.1109/pdis.1996.568665
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- Cheung, D. W., Han, J., Ng, V. T., Fu, A. W., & Fu, Y. (2002). A fast distributed algorithm for mining association rules. Fourth International Conference on Parallel and Distributed Information Systems. https://doi.org/10.1109/pdis.1996.568665
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