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- W2024098961 abstract "In this paper, we consider a new kind of temporal pattern where both interval and punctual time representation are considered. These patterns, which we call temporal point-interval patterns aim at capturing how events taking place during different time periods or at different time instants relate to each other. The datasets where these kind of patterns may appear are temporal relational databases whose relations contain point or interval timestamps. We use a simple extension of Allen's Temporal Interval Logic as a formalism for specifying these temporal patterns. We also present the algorithm MILPRIT* for mining temporal point-interval patterns, which uses variants of the classical level-wise search algorithms. Besides, MILPRIT* allows a broad spectrum of constraints to be incorporated into the mining process. An extensive set of experiments of MILPRIT¤ executed over synthetic and real data is presented showing its effectiveness for mining temporal relational patterns." @default.
- W2024098961 created "2016-06-24" @default.
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- W2024098961 date "2008-01-01" @default.
- W2024098961 modified "2023-09-27" @default.
- W2024098961 title "MILPRIT*: A Constraint-Based Algorithm for Mining Temporal Relational Patterns" @default.
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