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• W2062868042 abstract "In response to the increasing volume of trajectory data obtained, e.g., from tracking athletes, animals, or meteorological phenomena, we present a new space-efficient algorithm for the analysis of trajectory data. The algorithm combines techniques from computational geometry, data mining, and string processing and offers a modular design that allows for a user-guided exploration of trajectory data incorporating domain-specific constraints and objectives." @default.
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• W2062868042 date "2012-11-06" @default.
• W2062868042 modified "2023-09-27" @default.
• W2062868042 title "Of motifs and goals" @default.
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• W2062868042 doi "https://doi.org/10.1145/2424321.2424339" @default.
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