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- W1844230783 abstract "Integration of relevant categorized documents into existent categories of an organization or individual is an important issue in the e-commerce era. Existing categorization-based approach for document-category integration (specifically, ENB) incurs several limitations, including homogeneous assumption on categorizatio n schemes used by master and source catalogs and requirement for a large-sized master categories as training data. In this study, we developed a Clustering -based Category Integration (CCI) technique to address the problems inherent to categorizatio n-based approach. Using the ENB as benchmarks, the empirical evaluation results showed that CCI appeared to improve the effectiveness of document-category integration accuracy in different integration scenarios and seemed to be less sensitive to the size of master categories than ENB." @default.
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- W1844230783 date "2003-01-01" @default.
- W1844230783 modified "2023-09-24" @default.
- W1844230783 title "A Clustering-based Approach for Supporting Document-Category Integration" @default.
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