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Knowledge-based Sequence Mining with ASP

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Table 1: Atoms representing a pattern s = hs i i 1≤i≤m , where 1 ≤ m ≤ max , and a given multiset D of sequences t = ht j i 1≤j≤n
Figure 1 compares computing times of ASP-based se- se-quence mining (using the ASP system clingo) and CPSM (based on the CP solver gecode)
Figure 1: Mean times for computing all frequent patterns wrt different thresholds and mean sequence lengths (10, 20, 30, and 40), using ASP (solid) and CPSM (dashed)

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