Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction. [PDF]
Entropy (Basel)Yu P +6 more
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An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets. [PDF]
Entropy (Basel), 2019 Sun L, Zhang X, Xu J, Zhang S.
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工程科学与技术, 2012 :In order to overcome the premature convergence and poor running efficiency of the attribute reduction algorithm based on particle swarm optimization, based on some special searching optimization advantages of the niche technology, a novel incomplete ...
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Unsupervised attribute reduction based on variable precision weighted neighborhood dependency. [PDF]
iScienceLi Y, Zhang B, Mo H, Hu J, Liu Y, Tan X.
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A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures. [PDF]
Entropy (Basel), 2019 Sun L, Wang L, Xu J, Zhang S.
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Intelligent cybersecurity management in industrial IoT system using attribute reduction with collaborative deep learning enabled false data injection attack detection approach. [PDF]
Sci RepAlrashdi I, Duraibi S.
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A Simple Fitness Function for Minimum Attribute Reduction. [PDF]
Comput Intell Neurosci, 2015 Su Y, Guo J, Li Z.
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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition. [PDF]
Sci RepAlrslani FAF +6 more
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A Novel Strategy for Minimum Attribute Reduction Based on Rough Set Theory and Fish Swarm Algorithm. [PDF]
Comput Intell Neurosci, 2017 Su Y, Guo J.
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications. [PDF]
Sci RepAlkhalifa AK +7 more
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