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EvitaThe Evita system consists of three main components: an offline preprocessor, a server, and a client. The preprocessor takes the original data set and its associated grid to produce a compact representation. The compressed bitstream resulting from this offline preprocessing is produced under a fixed priority schedule that permits suitable visualization of the data PHYSICS-BASED FEATURE MINING FOR LARGE DATA EXPLORATIONOne effective way of exploring large scientific data sets is a process called feature mining. The two approaches described here locate specific features through algorithms that are geared to those features' underlying physics.

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