Open Access
| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 15004 | |
| Number of page(s) | 12 | |
| Section | Smart Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202020215004 | |
| Published online | 10 November 2020 | |
- A. Kao, S. Poteet, Natural Language Processing and Text Mining (Springer, Washington, 2006) [Google Scholar]
- N. Ur-Rahman, J.A. Harding, Textual data mining for industrial knowledge management and text classification: A business oriented approach, Expert Systems with Applications 39, 5, 4729–4739 (2012) [Google Scholar]
- G. Miner, A. Fast, D. Delen, T. Hill, J. Elder, B. Nisbet, Practical Text Mining and Statistical Analysis for Non-Structured Text Data Application (Elsevier, Oxford, 2012) [Google Scholar]
- Y. Zhang, R. Jin, Z.H. Zhou, Understanding bag-of-words model: A statistical framework, International Journal of Machine Learning and Cybernetics, 1, 1–4, 43–52 (2010) [Google Scholar]
- J. Han, M. Kamber, Data Mining: Concepts and Techniques Second Edition (Morgan Kaufmann, New York, 2006) [Google Scholar]
- S. Taheri, M. Mammadov, Learning The Naïve Bayes Classifier With Optimization Models, Internasional Journal of Applied Mathematics and Computer Science, 787–795 (2013) [Google Scholar]
- R. Feldman, J. Sanger, The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data (Cambridge University Press, New York, 2007) [Google Scholar]
- D. Isa, L.H. Lee, V.P. Kallimani, R. RajKumar, Text document Preprocessing with the Bayes Formula for Classification Using the Support vector machine, IEEE Transactions on Knowledge and Data Engineering 20, 9, 1264-1272 (2008) [Google Scholar]
- V. Vapnik, The Nature of Statistical Learning Theory (Springer, New York, 1995) [Google Scholar]
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