OPTICS-Based Clustering of Emails Represented by Quantitative Profiles

Author:

Špitalský Vladimír,Grendár Marian

Publisher

Springer International Publishing

Reference18 articles.

1. SCI;T.A. Almeida,2012

2. Haider, P., Scheffer, T.: Bayesian clustering for email campaign detection. In: ICML 2009, pp. 385–392. ACM, New York (2009)

3. Qian, F., Pathak, A., Charlie Hu, Y., Morley Mao, Z., Xie, Y.: A case for unsupervised-learning-based spam filtering. In: SIGMETRICS 2010, pp. 367–368. ACM, New York (2010)

4. Whissell, J.S., Clarke, C.L.A.: Clustering for semi-supervised spam filtering. In: CEAS 2011, pp. 125–134. ACM, New York (2011)

5. Grendár, M., Škutová, J., Špitalský, V.: Spam filtering by quantitative profiles. Intnl. J. Comp. Sci. Issues 9, 265–271 (2012)

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1. ML-EC2;International Journal of Web-Based Learning and Teaching Technologies;2020-04

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