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Titlebook: Inductive Logic Programming; 7th International Wo Nada Lavrač,Sašo Džeroski Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1

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Mitsue Furusawa,Nobuhiro Inuzuka,Hirohisa Seki,Hidenori Itohpear phishing emails. We then use this data to quantify how many employees are potential targets for such attacks. We show that 83% of the analyzed entities leak several attributes of uses, which can all be used to craft sophisticated phishing emails.
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Maximum Entropy modeling with Clausal Constraints, .(.|.) (where .(.|.) (.(.|.)) equals the induced (observed) probability of an instance . belonging to a class .). First experiments indicate . may be useful for prediction, and for classification in cases where the induced model should be combined with other stochastic information sources.
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