Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security

Author:

Dazeley Richard,Yearwood John L.,Kang Byeong H.,Kelarev Andrei V.

Publisher

Springer Berlin Heidelberg

Reference25 articles.

1. Ailon, N., Charikar, M., Newman, A.: Aggregating inconsistent information: ranking and clustering. In: Proc. 37th Annual ACM Symposium on Theory of Computing, pp. 684–693 (2005)

2. Anti-Phishing Working Group (2009), http://apwg.org/ (retrieved April 2010)

3. Bagirov, A.M.: Modified global k-means algorithm for minimum sum-of-squares clustering problems. Pattern Recognition 41, 3192–3199 (2008)

4. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley-Interscience, Hoboken (2001)

5. Fern, X.Z., Brodley, C.E.: Cluster ensembles for high dimensional clustering: an empirical study. J. Machine Learning Research (2004)

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