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Analysis of E-mail communication activities for detecting patterns of pathological behaviour., , and . FRUCT, page 322-327. IEEE, (2017)DynamicWEB: Adapting to Concept Drift and Object Drift in COBWEB., , and . Australasian Conference on Artificial Intelligence, volume 5360 of Lecture Notes in Computer Science, page 454-460. Springer, (2008)Detecting Abnormal Changes in E-mail Traffic Using Hierarchical Fuzzy Systems., , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Interaction rules: their place in collaboration software., , , and . CSCL, page 364-366. International Society of the Learning Sciences / ACM DL, (2007)Catching spam before it arrives: domain specific dynamic blacklists., , , and . ACSW, volume 54 of CRPIT, page 193-202. Australian Computer Society, (2006)Tracking and Monitoring E-mail Traffic Activities of Criminal and Terrorist Organisations Using Visualisation Tools, , and . Proceedings of the 6th Australian Information Warfare & Security Conference, page 112-124. (2005)Mapping Information Security Standards: A Counter-Terrorism Example., , and . ECIS, page 1370-1381. (2008)DynamicWEB: A Method for Reconnaissance Activity Profiling., , and . ISPA, page 725-736. IEEE Computer Society, (2008)E-mail Traffic Analysis Using Visualisation and Decision Trees., , and . ISI, volume 3975 of Lecture Notes in Computer Science, page 680-681. Springer, (2006)DynamicWEB: Profile Correlation Using COBWEB., , and . Australian Conference on Artificial Intelligence, volume 4304 of Lecture Notes in Computer Science, page 1059-1063. Springer, (2006)