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An Concise Reduction algorithm Based on Rough Set

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Abstract

The volume of data being generated nowadays is increasingly large . How to extract useful information from such data collections is an important issue . A promising technique is the Rough Set theory ,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features . In this paper ,basic concept of rough set is presented ,followed by a new reduction algorithm based on Rough Set .

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What this paper is about

The volume of data being generated nowadays is increasingly large . How to extract useful information from such data collections is an important issue . A promising technique is the Rough Set theory ,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features . In this paper ,basic concept of rough set is presented ,followed by a new reduction algorithm based on Rough Set .

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Available abstract

The volume of data being generated nowadays is increasingly large . How to extract useful information from such data collections is an important issue . A promising technique is the Rough Set theory ,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features . In this paper ,basic concept of rough set is presented ,followed by a new reduction algorithm based on Rough Set .

Key concepts: Rough set, Reduction (mathematics), Data mining, Set (abstract data type), Data set, Computer science, Data reduction, Algorithm

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