Proximate Mining Order- Sub Matrices Maintaining from Probabilistic Matrices

Abstract

Order-preserving submatrices (OPSMs) capture consensus trends over columns shared by rows in a data matrix. Mining OPSM patterns discovers important and interesting local correlations in many real applications, such as those involving biological data or sensor data. The prevalence of uncertain data in various applications, however, poses new challenges for… (More)

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Cite this paper

@inproceedings{Reddy2014ProximateMO, title={Proximate Mining Order- Sub Matrices Maintaining from Probabilistic Matrices}, author={Anugu Rahul Reddy and Balakrishna Bangaru}, year={2014} }