Parallel Computation of Rough Set Approximations in Information Systems with Missing Decision Data

Parallel Computation of Rough Set Approximations in Information Systems with Missing Decision Data

The paper discusses the use of parallel computation to obtain rough set approximations from large-scale information systems where missing data exist in both condition and decision attributes. To date, many studies have focused on missing condition data, but very few have accounted for missing decisi...

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Bibliographic Details
Main Authors: Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Computers
Subjects:
rough set
rough approximation
mapreduce
twofold rough approximation
missing decision data
missing condition data
Online Access:http://www.mdpi.com/2073-431X/7/3/44

Internet

http://www.mdpi.com/2073-431X/7/3/44

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