Bui, K.L. and Nguyen, T.N.T. and Nguyen, T.T.H. and Dao, T.T. (2018) An Effective of Data Organizing Method Combines with Naïve Bayes for Vietnamese Document Retrieval. In: 6th International Conference on Context-Aware Systems and Applications, ICCASA 2017 and 3rd International Conference on Nature of Computation and Communication, ICTCC 2017, 23 November 2017 through 24 November 2017.
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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. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1007/978-3-319-77818-1_20 |
| Uncontrolled Keywords: | Information retrieval; Semantics; Supports; User interfaces; Clustering; Data-mining tools; Document Retrieval; High-accuracy; Text retrieval; Vietnamese; Data mining |
| Additional Information: | Conference code: 211979. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9628 |
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