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• W2900156970 abstract "Financial Text Documents is one of the research domain build variety of applications. Mostly text processing techniques solve financial text problems. Dimensionality reduction process one the major challenging in text processing. Text features retained it helps to performing defines text clustering. Text clustering of similarity measure treats as the similarity between two text documents. The Main objective this paper defines and design suitable similarity measure motived from [18]–[21] and proposed similarity measure improves the previous measure [34]. This processes representation of financial system features initialized process based defined as Clusters." @default.
• W2900156970 created "2018-11-16" @default.
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• W2900156970 date "2017-12-01" @default.
• W2900156970 modified "2023-09-24" @default.
• W2900156970 title "CFTDISM:Clustering Financial Text Documents Using Improved Similarity Measure" @default.
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• W2900156970 doi "https://doi.org/10.1109/iccic.2017.8524466" @default.
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