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Value Decomposition and Dimension Selection in Multi-Dimensional Datasets using Map-Reduce Operation.

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 4)

Publication Date:

Authors : ; ;

Page : 1901-1907

Keywords : 3D subspace clustering; singular value decomposition; numerical optimization technique; protein structural data analysis; financial and stock data analysis.;

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Abstract

The datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data setsThe datasets which are in the form of object-attribute-time format is referred to as three-dimensional (3D) data sets

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Last modified: 2014-05-10 16:43:05