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- W1965576552 abstract "In this paper, we propose a SAT-based encoding for the problem of discovering frequent, closed and maximal patterns in a sequence of items and a sequence of itemsets. Our encoding can be seen as an improvement of the approach proposed in [8] for the sequences of items. In this case, we show experimentally on real world data that our encoding is significantly better. Then we introduce a new extension of the problem to enumerate patterns in a sequence of itemsets. Thanks to the flexibility and to the declarative aspects of our SAT-based approach, an encoding for the sequences of itemsets is obtained by a very slight modification of that for the sequences of items." @default.
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- W1965576552 date "2013-01-01" @default.
- W1965576552 modified "2023-10-16" @default.
- W1965576552 title "Boolean satisfiability for sequence mining" @default.
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- W1965576552 doi "https://doi.org/10.1145/2505515.2505577" @default.
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