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» Practical Preference Relations for Large Data Sets
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ICDT
2010
ACM
211views Database» more  ICDT 2010»
16 years 3 months ago
Probabilistic Data Exchange
The work reported here lays the foundations of data exchange in the presence of probabilistic data. This requires rethinking the very basic concepts of traditional data exchange, ...
Ronald Fagin, Benny Kimelfeld, Phokion Kolaitis
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 6 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
PLDI
2000
ACM
15 years 9 months ago
Off-line variable substitution for scaling points-to analysis
Most compiler optimizations and software productivity tools rely on information about the effects of pointer dereferences in a program. The purpose of points-to analysis is to com...
Atanas Rountev, Satish Chandra
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 10 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
GIS
2007
ACM
16 years 7 months ago
Using fuzzy clustering methods for delineating urban housing submarkets
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or cri...
Sungsoon Hwang, Jean-Claude Thill