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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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