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- W1617547563 abstract "management subjects have important place in text mining. One of the most important parts of similar document research studies is the process of classifying or clustering the documents. In this study, a similar document search approach that includes discussion of out the case of belonging to multiple categories (multiple categories problem) has been carried. The proposed method that based on Fuzzy Similarity Classification (FSC) has been compared with Rocchio algorithm and naive Bayes method which are widely used in text mining. Empirical results show that the proposed method is quite successful and can be applied effectively. For the second stage, multiple categories vector method based on information of categories regarding to frequency of being seen together has been used. Empirical results show that achievement is increased almost two times, when proposed method is compared with classical approach." @default.
- W1617547563 created "2016-06-24" @default.
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- W1617547563 date "2013-08-29" @default.
- W1617547563 modified "2023-09-23" @default.
- W1617547563 title "A Study on Finding Similar Document with Multiple Categories" @default.
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