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- W2635112511 abstract "With the rapid development of information technology, the concept of big data is used in information collection on different things, especially for the text classification. This paper propose an improved KNN algorithm based on clustering for the automatic classification of Web text. In addition, we find a new method to find out which text in the same category belongs to the same cluster. Finally, we classify Web text automatically and test them by using the existing and improved KNN algorithm respectively. Simulation results show that the improved algorithm can significantly raise the accuracy of automatic classification." @default.
- W2635112511 created "2017-06-30" @default.
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- W2635112511 date "2017-04-01" @default.
- W2635112511 modified "2023-09-25" @default.
- W2635112511 title "Application of kNN improved algorithm in automatic classification of network public proposal cases" @default.
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- W2635112511 doi "https://doi.org/10.1109/icccbda.2017.7951888" @default.
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