Evaluation of Time Complexities of Bayesian Vs Hybridized Word Stemming Techniques for Advanced Fee Fraud Emails Filtering


  • Okunade Oluwasogo Adekunle Faculty of Sciences, National Open University of Nigeria, Cadastral Zone, Nnamdi Azikiwe Expressway, Jabi, Abuja, Nigeria


Time execution, Classification, Spam, Mail, Word stemming


Communication in Physical Sciences, 2020, 7(2):82-86

Authors: Okunade Oluwasogo,  Adekunle,  Afolorunso Adenrele and Adebayo Adegboyega

Received 18 December 2020/Accepted 20 April 2021

Time execution of content-based spam filter was investigated using the Bayesian statistical algorithm against Bayesian statistical algorithm incorporated with a word stemming. The execution time intervals for the algorithms implementation of the two techniques were evaluated by subjecting the filters to manipulated and non-manipulate spam mails. The experiment shown that both single technique (Bayesian) and combined techniques (Bayesian incorporated with word stemming) executed suspicious terms manipulated mails faster (within a short time) compared to non-manipulate suspicious terms mails. Combined algorithms performed better and faster in a sophisticated and manipulated environment. The algorithm is more rugged and performed better when suspicious term/tokens were manipulated to deceit the filter.


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Author Biography

Okunade Oluwasogo Adekunle, Faculty of Sciences, National Open University of Nigeria, Cadastral Zone, Nnamdi Azikiwe Expressway, Jabi, Abuja, Nigeria

Department of Computer Science


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