Abstract
Data is uploaded to Internet daily that make more and more difficult to mine it. Currently, the available of data mining tools still cannot discover knowledge from data that need semantic with difference dimensions. In this paper we present a method to search the related documents based on clustering that grouped by content. In this, the features are assigned weight by supporting. Experimental results show that the proposed method is really effective, high accuracy and the response results are quickly.
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Bui, K.L., Nguyen, T.N.T., Nguyen, T.T.H., Dao, T.T. (2018). An Effective of Data Organizing Method Combines with Naïve Bayes for Vietnamese Document Retrieval. In: Cong Vinh, P., Ha Huy Cuong, N., Vassev, E. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICTCC ICCASA 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-77818-1_20
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DOI: https://doi.org/10.1007/978-3-319-77818-1_20
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