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» Approximation algorithms for clustering uncertain data
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WAIM
2009
Springer
14 years 2 months ago
Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data
Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggrega...
Shuxiang Yang, Wenjie Zhang, Ying Zhang, Xuemin Li...
ESA
2009
Springer
94views Algorithms» more  ESA 2009»
14 years 2 months ago
Shape Fitting on Point Sets with Probability Distributions
We consider problems on data sets where each data point has uncertainty described by an individual probability distribution. We develop several frameworks and algorithms for calcul...
Maarten Löffler, Jeff M. Phillips
ICPR
2008
IEEE
14 years 8 months ago
Time-series clustering by approximate prototypes
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
Pasi Fränti, Pekka Nykänen, Ville Hautam...
COLT
2003
Springer
14 years 23 days ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
12 years 11 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik