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- W38873644 abstract "In the case of infertility treatment, successful classification will fa- cilitate understanding of various factors affecting the success of the process. Classification itself is an important data mining problem. Many classifications and constructions of the classifier algorithms are not able to cope with the analy- sis of the huge amount of factors associated with this process. Feature selection allows to significantly reduce the volume of analyzed data, while maintaining the classifier prediction quality. This leads to the rejection of nonessential measure- ments and time reductions." @default.
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- W38873644 date "2010-01-01" @default.
- W38873644 modified "2023-09-23" @default.
- W38873644 title "THE USAGE OF MARGIN-BASED FEATURE SELECTION ALGORITHM IN IVF ICSI/ET DATA ANALYSIS" @default.
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