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• W1522181407 abstract "An innovative event-based data stream compression and mining model is presented in this paper. The main novelty of our approach with respect to traditional data stream compression approaches relies on the semantics of the application in driving the compression process by identifying interested events occurring in the unbounded stream. This puts the basis for a novel class of intelligent applications over data streams where the knowledge on actual streams is integrated with and correlated to the knowledge related to expired events that are considered critical for the target application scenario." @default.
• W1522181407 created "2016-06-24" @default.
• W1522181407 creator A5003568076 @default.
• W1522181407 creator A5053225136 @default.
• W1522181407 date "2008-08-31" @default.
• W1522181407 modified "2023-09-26" @default.
• W1522181407 title "Event-Based Compression and Mining of Data Streams" @default.
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• W1522181407 doi "https://doi.org/10.1007/978-3-540-85565-1_83" @default.
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