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• W2079758575 abstract "We explore a utilization of Boolean matrix factorization for data preprocessing in classification of Boolean data. In our previous work, we demonstrated that preprocessing that consists in replacing the original Boolean attributes by factors, i.e. new Boolean attributes obtained from the original ones by Boolean matrix factorization, can improve classification quality. The aim of this paper is to explore the question of how the various Boolean factorization methods that were proposed in the literature impact the quality of classification. In particular, we compare five factorization methods, present experimental results, and outline issues for future research." @default.
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• W2079758575 date "2014-06-15" @default.
• W2079758575 modified "2023-10-05" @default.
• W2079758575 title "Impact of Boolean factorization as preprocessing methods for classification of Boolean data" @default.
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• W2079758575 doi "https://doi.org/10.1007/s10472-014-9414-x" @default.
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