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SIGMOD
1998
ACM

Efficiently Mining Long Patterns from Databases

13 years 8 months ago
Efficiently Mining Long Patterns from Databases
We present a pattern-mining algorithm that scales roughly linearly in the number of maximal patterns embedded in a database irrespective of the length of the longest pattern. In comparison, previous algorithms based on Apriori scale exponentially with longest pattern length. Experiments on real data show that when the patterns are long, our algorithm is more efficient by an order of magnitude or more.
Roberto J. Bayardo Jr.
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where SIGMOD
Authors Roberto J. Bayardo Jr.
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