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A Single Pass Computing Engine for Interactive Analysis of VLDBs |
Full Paper (PDF)
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A single pass computing and visualization
engine will be demonstrated that allows one to
interactively analyze VLDBs that contain tens of
millions of multivariate records. The engine
allows one to compute millions of different
quantities from a single pass over the records.
Each computation can be performed for the
entire multivariate domain and for all subdomains
that can be obtained by constraining
one or more discrete variables to span any subset
of their values and one or more continuous
variables to span any subset of their predefined
bins. Each new computation takes less than one
second irrespective of the number of records.
Our patented visualization method (U.S. Patent
No. 5,228,119) allows one to quickly detect
highly conditional multidimensional correlations,
clusters and associations.
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@inproceedings{DBLP:conf/vldb/Mihalisin98,
author = {Ted Mihalisin},
editor = {Ashish Gupta and
Oded Shmueli and
Jennifer Widom},
title = {A Single Pass Computing Engine for Interactive Analysis of VLDBs},
booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very
Large Data Bases, August 24-27, 1998, New York City, New York,
USA},
publisher = {Morgan Kaufmann},
year = {1998},
isbn = {1-55860-566-5},
pages = {707},
crossref = {DBLP:conf/vldb/98},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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DBLP: Copyright ©1999 by Michael Ley (ley@uni-trier.de).
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