Multi-attribute Classification of Text Documents as a Tool for Ranking and Categorization of Educational Innovation Projects

Author:

An Alexey,Dauletbakov Bakytkan,Levner Eugene

Publisher

Springer Berlin Heidelberg

Reference23 articles.

1. Maimon, O., Rokach, L.: Data Mining and Knowledge Discovery Handbook. Springer, Berlin (2005)

2. Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, Cambridge (2006)

3. Pawar, P.Y., Gawande, S.H.: A comparative study on different types of approaches to text categorization. International Journal of Machine Learning and Computing 2, 423–426 (2012)

4. Chung, E.K., Miksa, S., Hastings, S.K.: A framework of automatic subject term assignment for text categorization: An indexing conception-based approach. Journal of the American Society for Information Science and Technology 61, 688–699 (2010)

5. Du, R., Safavi-Naini, R., Susilon, W.: Web filtering using text classification. In: The 11th IEEE International Conference on Networks, September 28-October 1, pp. 325–330 (2003)

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