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CORR
2012
Springer
230views Education» more  CORR 2012»
13 years 5 months ago
Fast Triangle Counting through Wedge Sampling
Graphs and networks are used to model interactions in a variety of contexts, and there is a growing need to be able to quickly assess the qualities of a graph in order to understa...
C. Seshadhri, Ali Pinar, Tamara G. Kolda
ISCAS
2003
IEEE
127views Hardware» more  ISCAS 2003»
15 years 3 months ago
Nonuniform sampling driver design for optimal ADC utilization
Deliberate nonuniform sampling promises increased equivalent sampling rates with reduced overall hardware costs of the DSP system. The equivalent sampling rate is the sampling rat...
Frank Papenfuss, Yuri Artyukh, E. Boole, Dirk Timm...
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
CORR
2010
Springer
97views Education» more  CORR 2010»
14 years 10 months ago
A Linear-time Algorithm for Sparsification of Unweighted Graphs
Given an undirected graph G and an error parameter > 0, the graph sparsification problem requires sampling edges in G and giving the sampled edges appropriate weights to obtai...
Ramesh Hariharan, Debmalya Panigrahi
STOC
1995
ACM
145views Algorithms» more  STOC 1995»
15 years 1 months ago
Polynomial time approximation schemes for dense instances of NP-hard problems
We present a unified framework for designing polynomial time approximation schemes (PTASs) for “dense” instances of many NP-hard optimization problems, including maximum cut,...
Sanjeev Arora, David R. Karger, Marek Karpinski