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- W2147710303 abstract "This work investigates using n-gram processing and a temporal relation encoding to providing relational information about events extracted from media streams. The event information is temporal and nominal in nature being categorized by a descriptive label or symbolic means and can be difficult to relationally compare and give ranking metrics. Given a parsed sequence of events, relational information pertinent to comparison between events can be obtained through the application of n-grams techniques borrowed from speech processing and temporal relation logic. The procedure is discussed along with results computed using a representative data set characterized by nominal event data." @default.
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- W2147710303 date "2010-10-25" @default.
- W2147710303 modified "2023-10-14" @default.
- W2147710303 title "Structuring ordered nominal data for event sequence discovery" @default.
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- W2147710303 doi "https://doi.org/10.1145/1873951.1874153" @default.
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