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Proximate Mining Order- Sub Matrices Maintaining from Probabilistic Matrices?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 8)

Publication Date:

Authors : ; ;

Page : 597-601

Keywords : Data mining; Classification; bioinformatics; mining methods and Algorithms;

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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 OPSM mining, since data uncertainty must be incorporated into OPSM modeling and the algorithmic aspects.

Last modified: 2014-08-29 03:25:53