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RNTI

MODULAD
Binary Sequences and Association Graphs for Fast Detection of Sequential Patterns
In EGC 2009, vol. RNTI-E-15, pp.355-360
Résumé
We develop an efficient algorithm for detecting frequent patterns that
occur in sequence databases under certain constraints. By combining the use
of bit vector representations of sequence databases with association graphs we
achieve superior time and low memory usage based on a considerable reduction
of the number of candidate patterns.