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This effort is supported, in part, by:
under contract numbers F30602-00-2-0597, F30602-01-2-0566,
HR0011-04-1-0013, EIA9983215, and W7405-ENG-48 and by the
National Association of Securities Dealers (NASD) through a
research grant with the Univeristy of Massachusetts. The
U.S. Government is authorized to reproduce and distribute
reprints for governmental purposes notwithstanding any
copyright notation hereon. The views and conclusions
contained herein are those of the authors and should not be
interpreted as necessarily representing the official
policies or endorsements either expressed or implied, of
AFRL, DARPA, NSF, LLNL/DOE, NASD, the University of
Massachusetts Amherst, or the U.S. Government.
Individuals
- Jacob Barss-Bailey
- Hannah Blau
- Jeff Cleveland
- Dan Corkill
- Matthew Cornell
- Ross Fairgrieve
- Andrew Fast
- Lisa Friedland
- Brian Gallagher
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- Michael Hay
- David Jensen
- Cindy Loiselle
- Amy McGovern
- Jen Neville
- Matthew Rattigan
- Agustin Schapira
- Özgür Simsek
- Pippin Wolfe
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The MonetDB Team
PROXIMITY uses the
MonetDB server
to provide fast vertical database services for the kinds of
operations needed by relational knowledge discovery. We
appreciate the enthusiastic and responsive support provided
by the MonetDB team.
Additional Contributors
PROXIMITY uses the following open-source libraries:
- Colt
scientific and technical computing library
- Log4j logging
services
- JDom XML tools
- JUNG
graph data structure and visualization package
- JUnit unit-testing
framework
- Jython Java-based Python
language
- Mantissa
Mathematical Library
- Piccolo
structured 2D graphics framework
- Spin threading
solution for Swing applications
- Xerces Java
parser
and we thank the authors of those libraries for their open-source
contributions.
We also use the following open-source tools in compiling
and testing PROXIMITY:
- Ant Java-based build tool
We use the following open-source tools to create the
PROXIMITY documentation:
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