Free Parallel Data Mining
Summary: Free parallel data mining across networks of workstations with fault tolerance, avoiding new hardware investments. Parallelization of combinatorial pattern discovery and classification-tree learning demonstrated on protein motifs and FX rate movement. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Bin Li (New York University)
- 2. Dennis Shasha (New York University)
BibTeX Citation
@inproceedings{li_sigmod98,
title = {{Free Parallel Data Mining}},
author = {Li, Bin and Shasha, Dennis},
series = {{SIGMOD} '98},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/276304.276374},
url = {https://dl.acm.org/doi/10.1145/276304.276374},
year = {1998}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,603 | Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results | 1994 | SIGMOD | 0.00010236342 |
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