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Uncertain data

In computer science, uncertain data is data that contains noise that makes it deviate from the correct, intended or original values. In the age of… Expand
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Papers overview

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Review
2019
Review
2019
Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective… Expand
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Highly Cited
2009
Highly Cited
2009
This paper studies the problem of frequent pattern mining with uncertain data. We will show how broad classes of algorithms can… Expand
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Highly Cited
2007
Highly Cited
2007
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to… Expand
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Highly Cited
2007
Highly Cited
2007
We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions… Expand
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Highly Cited
2006
Highly Cited
2006
We study the problem of clustering data objects whose locations are uncertain. A data object is represented by an uncertainty… Expand
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Highly Cited
2004
Highly Cited
2004
AbstractWe consider linear programs with uncertain parameters, lying in some prescribed uncertainty set, where part of the… Expand
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Highly Cited
2002
Highly Cited
2002
We introduce an incremental singular value decomposition (SVD) of incomplete data. The SVD is developed as data arrives, and can… Expand
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Highly Cited
2000
Highly Cited
2000
Abstract.Optimal solutions of Linear Programming problems may become severely infeasible if the nominal data is slightly… Expand
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Highly Cited
1999
Highly Cited
1999
We treat in this paper linear programming (LP) problems with uncertain data. The focus is on uncertainty associated with hard… Expand
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Highly Cited
1997
Highly Cited
1997
We consider least-squares problems where the coefficient matrices A,b are unknown but bounded. We minimize the worst-case… Expand
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