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Abstract: . The need and opportunity to efficiently find patterns and features in the vast and growing scientific data sets of today is apparent. In this paper, we present an extensible and distributed query processing system --- Conquest (CONcurrent QUEries over Space and Time) which delivers high performance for non-traditional database query applications. Conquest is composed of components: query management subsystem, query execution engine and user-interface subsystem. Both operation and data... (Update)
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BibTeX entry: (Update)
@article{ nittel00conquest,
author = "Silvia Nittel and Kenneth W. Ng and Richard R. Muntz",
title = "{Conquest}: {CONcurrent {QUEries} over Space and Time}",
journal = "Lecture Notes in Computer Science",
volume = "1737",
pages = "286--??",
year = "2000",
url = "citeseer.ist.psu.edu/nittel99conquest.html" }
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Fast Spatio-Temporal Data Mining of Large Geophysical Datasets - Stolorz, Nakamura, al. (1995) (Correct)
Scalable Exploratory Data Mining of Distributed.. - Shek, Muntz, Mesrobian.. (1996) (Correct)
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