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The Enron email dataset can be found here.
To do this we use a large email dataset collected over two years.
The Enron email dataset [31] is also analysed utilizing the valuable semantic data associated with the nodes to show the qualitative validity of the algorithm.
When analyzing the Enron email dataset, a subset of the nodes are included where the position in the company is known.
Let us consider the email dataset introduced in Example 1, and let us suppose that the considered dataset collects all the emails in collection cl.
We validate the theory on synthetic data drawn from a time-varying distribution over binary vectors of high dimensionality, as well as on the Enron email dataset.
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Email datasets include (i) ham (good) emails from SpamAssassin corpus [68], (ii) phishing emails from the PhishingCorpus [69], (iii) good emails from Enron Email Dataset [70], and (iv) spam emails from SPAM Archive [71].
Four publicly available email datasets and one publicly available phish URL dataset were used to evaluate phishGILLNET.
The authors thank Mark Newman (Zachary, dolphin, Les Miserables, Metabolic and Email datasets, http://www-personal.umich.edu/~mejn/netdata/) and Uri Alon (E. coli and S. cerevisiae datasets, http://www.weizmann.ac.il/mcb/UriAlon) for providing datasets and Prof Christos Ouzounis for comments.
Using labeled emails as input dataset, containing phishing emails and non-phishing emails, topic distribution probabilities and word distribution probabilities are obtained by building a PLSA model.
That's partly because of the huge advances made in modelling the interactions between individuals in computer models and partly because of the sudden availability of huge datasets that capture certain aspects of human behaviour, such as mobile phone, email and trade datasets.
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