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- W20280304 abstract "In conventional classification methods a single similarity measure is applied across all the attributes of a categorical data. But different attributes of a categorical data can have different nature and using a single similarity measure across all the attributes may not always show a better classification performance. So in the present paper classification is performed using different similarity measures for different set of attributes called as hybrid similarity measure. Experimental results using benchmark datasets showed that classification using the hybrid similarity measures showed good classification performance." @default.
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- W20280304 date "2012-01-01" @default.
- W20280304 modified "2023-09-27" @default.
- W20280304 title "Classification of Categorical Data Using Hybrid Similarity Measures" @default.
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- W20280304 doi "https://doi.org/10.1007/978-3-642-31686-9_43" @default.
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