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KDD
1998
ACM
147views Data Mining» more  KDD 1998»
13 years 11 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
CASES
2004
ACM
14 years 29 days ago
Analytical computation of Ehrhart polynomials: enabling more compiler analyses and optimizations
Many optimization techniques, including several targeted specifically at embedded systems, depend on the ability to calculate the number of elements that satisfy certain conditio...
Sven Verdoolaege, Rachid Seghir, Kristof Beyls, Vi...
ISLPED
2006
ACM
140views Hardware» more  ISLPED 2006»
14 years 1 months ago
L-CBF: a low-power, fast counting bloom filter architecture
—An increasing number of architectural techniques rely on hardware counting bloom filters (CBFs) to improve upon the enegy, delay and complexity of various processor structures. ...
Elham Safi, Andreas Moshovos, Andreas G. Veneris
AIPS
2006
13 years 9 months ago
Fast Probabilistic Planning through Weighted Model Counting
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...
Carmel Domshlak, Jörg Hoffmann
SIGMETRICS
2008
ACM
13 years 7 months ago
DRAM is plenty fast for wirespeed statistics counting
Per-flow network measurement at Internet backbone links requires the efficient maintanence of large arrays of statistics counters at very high speeds (e.g. 40 Gb/s). The prevailin...
Bill Lin, Jun (Jim) Xu