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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
15 years 10 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
15 years 10 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
15 years 10 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
HPCA
2008
IEEE
15 years 10 months ago
Address-branch correlation: A novel locality for long-latency hard-to-predict branches
Hard-to-predict branches depending on longlatency cache-misses have been recognized as a major performance obstacle for modern microprocessors. With the widening speed gap between...
Hongliang Gao, Yi Ma, Martin Dimitrov, Huiyang Zho...