Stable attribute reduction for neighborhood rough set
نویسندگان
چکیده
منابع مشابه
Variable Neighborhood Search for Attribute Reduction in Rough Set Theory
Attribute reduction is a combinational optimization problem in data mining domain that aims to find a minimal subset from a large set of attributes. The typical high dimensionality of datasets precludes the use of greedy methods to find reducts because of its poor adaptability, and requires the use of stochastic methods. Variable Neighborhood Search (VNS) is a recent metaheuristic and have been...
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ژورنال
عنوان ژورنال: Filomat
سال: 2018
ISSN: 0354-5180,2406-0933
DOI: 10.2298/fil1805809l