Artificial Intelligence Applications for Analysis of E-mail Communication Activities
Lim, MJH and Negnevitsky, M and Hartnett, J (2004) Artificial Intelligence Applications for Analysis of E-mail Communication Activities. In: International Conference On Artificial Intelligence In Science And Technology, 21 - 25 November 2004, Hobart, Tasmania. ![[img]](http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png)  Preview |
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AbstractE-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 Type: | Conference or Workshop Item (Paper) |
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| Keywords: | email, electronic mail, e-mail, anomaly detection, behaviour analysis, complex networks |
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| ID Code: | 151 |
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| Deposited By: | utas eprints |
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| Deposited On: | 26 Jan 2005 |
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| Last Modified: | 18 Jul 2008 19:38 |
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