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Analysis of e-mail communication activities for detecting patterns of pathological behaviour

Citation

Negnevitsky, M and Lim, MJ and Hartnett, J, Analysis of e-mail communication activities for detecting patterns of pathological behaviour, Proceedings of the 20th Conference of Fruct Association, 3-7 April 2017, St. Petersburg, Russia, pp. 322-327. ISSN 2305-7254 (2017) [Refereed Conference Paper]

Copyright Statement

Copyright 2017 IEEE

DOI: doi:10.23919/FRUCT.2017.8071329

Abstract

E-mail is one of the most popular and widely used form of electronic communication used today. The patterns in the social interactions or contacts between people by e-mail can be analysed using social network analysis and user behaviour analysis. In this paper we provide a review of the work related to the areas of dynamic modelling and link prediction of social networks, and anomaly detection for detecting changes in the behaviour of e-mail usage. We then discuss about the benefits of applying artificial intelligence techniques to these fields.

Item Details

Item Type:Refereed Conference Paper
Keywords:e-mail communication, pathological behaviour
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Control Systems, Robotics and Automation
Objective Division:Manufacturing
Objective Group:Machinery and Equipment
Objective Field:Machinery and Equipment not elsewhere classified
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:Lim, MJ (Mr Mark Lim)
UTAS Author:Hartnett, J (Mrs Jacky Hartnett)
ID Code:124536
Year Published:2017
Deposited By:Engineering
Deposited On:2018-02-23
Last Modified:2018-06-18
Downloads:0

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