Collective Classification for Spam Filtering - Computational Intelligence in Security for Information Systems - page 8

3. Schryen, G.: A formal approach towards assessing the effectiveness of anti-spam
procedures. In: Proceedings of the 39th Annual Hawaii International Conference
on HICSS 2006, vol. 6, pp. 129-138. IEEE, Los Alamitos (2006)
4. Chiu, Y., Chen, C., Jeng, B., Lin, H.: An Alliance-Based Anti-spam Approach.
In: Third International Conference on ICNC 2007, vol. 4, pp. 203-207. IEEE, Los
Alamitos (2007)
5. Zhang, L., Zhu, J., Yao, T.: An evaluation of statistical spam filtering techniques.
ACM Transactions on Asian Language Information Processing (TALIP) 3(4), 243-
269 (2004)
6. Mason, J.: Filtering spam with spamassassin. In: HEANet Annual Conference
(2002)
7. Raymond, E.: Bogofilter: A fast open source bayesian spam filters (2005)
8. Burton, B.: Spamprobe-bayesian spam filtering tweaks. In: Proceedings of the Spam
Conference (2003)
9. Dengel, A., Dubiel, F.: Clustering and classification of document structure-a ma-
chine learning approach. In: International Conference on Document Analysis and
Recognition, vol. 2, p. 587 (1995)
10. Fujisawa, H., Nakano, Y., Kurino, K.: Segmentation methods for character recog-
nition: from segmentation to document structure analysis. Proceedings of the
IEEE 80(7), 1079-1092 (2002)
11. Denoyer, L., Gallinari, P.: Bayesian network model for semi-structured document
classification. Information Processing & Management 40(5), 807-827 (2004)
12. Namata, G., Sen, P., Bilgic, M., Getoor, L.: Collective classification for text clas-
sification. Text Mining, 51-69 (2009)
13. Garner, S.: Weka: The Waikato environment for knowledge analysis. In: Proceed-
ings of the New Zealand Computer Science Research Students Conference, pp.
57-64 (1995)
14. Androutsopoulos, I., Koutsias, J., Chandrinos, K., Paliouras, G., Spyropoulos, C.:
An evaluation of naive bayesian anti-spam filtering. In: Proceedings of the Work-
shop on Machine Learning in the New Information Age, pp. 9-17 (2000)
15. Sakkis, G., Androutsopoulos, I., Paliouras, G., Karkaletsis, V., Spyropoulos, C.,
Stamatopoulos, P.: A memory-based approach to anti-spam filtering for mailing
lists. Information Retrieval 6(1), 49-73 (2003)
16. Wilbur, W., Sirotkin, K.: The automatic identification of stop words. Journal of
Information Science 18(1), 45-55 (1992)
17. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing.
Communications of the ACM 18(11), 613-620 (1975)
18. Kent, J.: Information gain and a general measure of correlation. Biometrika 70(1),
163-173 (1983)
19. Holmes, G., Donkin, A., Witten, I.H.: Weka: a machine learning workbench, 357-
361 (August 1994)
20. Singh, Y., Kaur, A., Malhotra, R.: Comparative analysis of regression and machine
learning methods for predicting fault proneness models. International Journal of
Computer Applications in Technology 35(2), 183-193 (2009)