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phishGILLNET—phishing detection methodology using probabilistic latent semantic analysis, AdaBoost, and co-training

Overview of attention for article published in EURASIP Journal on Information Security, March 2012
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107 Mendeley
Title
phishGILLNET—phishing detection methodology using probabilistic latent semantic analysis, AdaBoost, and co-training
Published in
EURASIP Journal on Information Security, March 2012
DOI 10.1186/1687-417x-2012-1
Authors

Venkatesh Ramanathan, Harry Wechsler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 16%
Student > Master 16 15%
Student > Bachelor 11 10%
Researcher 6 6%
Student > Postgraduate 5 5%
Other 17 16%
Unknown 35 33%
Readers by discipline Count As %
Computer Science 43 40%
Engineering 5 5%
Social Sciences 5 5%
Unspecified 3 3%
Linguistics 2 2%
Other 8 7%
Unknown 41 38%