Parallel Mining of Association Rules (1996)
by
Rakesh Agrawal
,
John C. Shafer
| Venue: | IEEE Transactions on Knowledge and Data Engineering |
| Citations: | 203 - 3 self |
BibTeX
@ARTICLE{Agrawal96parallelmining,
author = {Rakesh Agrawal and John C. Shafer},
title = {Parallel Mining of Association Rules},
journal = {IEEE Transactions on Knowledge and Data Engineering},
year = {1996},
volume = {8},
pages = {962--969}
}
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Abstract
We consider the problem of mining association rules on a shared-nothing multiprocessor. We present three algorithms that explore a spectrum of trade-offs between computation, communication, memory usage, synchronization, and the use of problem-specific information. The best algorithm exhibits near perfect scaleup behavior, yet requires only minimal overhead compared to the current best serial algorithm.
Citations
| 2160 | Fast algorithms for mining association rules - Agrawal, Srikant - 1994 |
| 399 | Agrawal R: Mining generalized association rules - Srikant - 1995 |
| 337 | Y.: Discovery of multiple-level association rules from large databases - Han, Fu - 1995 |
| 329 | An efficient algorithm for mining association rules in large databases - Savasere, Omiecinski, et al. - 1995 |
| 185 | An effective hash based algorithm for mining association rules - Park, Chen, et al. - 1995 |
| 100 | Tomasz Imielinski, Arun Swami; Mining Association Rules between Se of Items - Agrawal - 1993 |
| 55 | Efficient Parallel Data Mining for Association Rules - Park, Chen, et al. - 1995 |
| 53 | Parallel Mining of Association Rules: Design, Implementation and Experience - Agrawal, Shafer - 1996 |
| 42 | Inkeri Verkamo. Efficient algorithms for discovering association rules - Mannila, Toivonen, et al. - 1994 |
| 6 | Houtsma and Arun Swami. Set-oriented mining of association rules - Maurice - 1995 |
