Investigating the Effect of Combining Text Clustering with Classification on Improving Spam Email Detection-Reference-Cited by-同舟云学术

Investigating the Effect of Combining Text Clustering with Classification on Improving Spam Email Detection

Published:2017 Issue: Volume: Page:99-107
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Hassan Doaa

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-53480-0_10

Reference20 articles.

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2. Hamerly, G., Elkan, C.: Alternatives to the k-means algorithm that find better clusterings. In Proceedings of the Eleventh International Conference on Information and Knowledge Management (CIKM) (2002)

3. Sasaki, M., Shinnou, H.: Spam detection using text clustering. In: Proceedings of the 2005 International Conference on Cyberworlds (CW 2005), pp. 316–319 (2005)

4. Kyriakopoulou, A., Kalamboukis, T.: Using clustering to enhance text classification. In: Proceedings of SIGIR 2007, Amsterdam, The Netherlands (2007)

5. Kyriakopoulou, A., Kalamboukis, T.: Combining clustering with classification for spam detection in social bookmarking systems. In: ECML/PKDD Discovery Challenge (2008)

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