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Abstract: As computational power and storage capacity increase, processing and analyzing large volumes of multi-dimensional datasets play an increasingly important role in many domains of scienti #c research. Scienti#c applications that make use of very large scienti#c datasets have several importantcharacteristics: datasets consist of complex data and are usually multi-dimensional; applications usually retrieve a subset of all the data available in the dataset; various applicationspeci #c... (Update)
Context of citations to this paper: More
...an event channel; the provider need not have knowledge of the location or number of users. Data streams have been treated by others in [10], 4] and [19] A problem in data streaming applications surfaces when the applications scale in number of data providers and data...
.... by applications that manipulate those datasets may differ in many ways, a close look at many dataintensive applications [17,21,31,42,44] reveals that there exist commonalities in their data access patterns and processing structures. Analysis requires extracting the data...
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BibTeX entry: (Update)
Renato Ferreira, Tahsin Kurc, Michael Beynon, Chialin Chang, and Joel Saltz. Object-relational queries into multidimensional databases with the Active Data Repository. Journal of Supercomputer Applications and High Performance Computing (IJSA), 1999. http://citeseer.ist.psu.edu/ferreira99objectrelational.html More
@article{ ferreira99objectrelational,
author = "Renato Ferreira and Tahsin M. Kurc and Michael Beynon and Chialin Chang and Alan Sussman and Joel H. Saltz",
title = "Object-Relational Queries into Multidimensional Databases with the Active Data Repository",
journal = "Parallel Processing Letters",
volume = "9",
number = "2",
pages = "173-195",
year = "1999",
url = "citeseer.ist.psu.edu/ferreira99objectrelational.html" }
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