An Information Systems Teaching Case: Bayesian Probability Applied to Spam E-mail Filters

摘要

Information Systems professionals can participate in the strategic planning and policy development of the business organization by applying sound techniques for rational decision making. Decision Support Systems often utilize inferential techniques to provide analysis and knowledge creation for business and its information systems. One common method of reasoning under uncertainty is the application of the Bayesian probability model. This teaching case can be used in an Information Systems program to teach one method of inferential reasoning as applied to policy and business rules for spam email filters.