You are the information systems director for Abbon Laboratories, a biotechnology research firm with about 100 employees. Alice Stampler, Abbon’s president, is aware that Abbon’s incoming e-mail includes a great deal of spam and has always complained about the time it takes her to delete it. More importantly, she is concerned about the time wasted by the company’s employees. Just thinking about those expensive Ph.D. researchers spending time deleting half of their e-mail drives her to distraction. Alice just read a story in a business magazine about naïve Bayesian spam filters. Possessing a Ph.D. herself, she is fascinated by the prospect that sophisticated mathematics might solve the company’s spam problem. Alice asks you to find out all you can about naïve Bayesian filters and present a short report (about 200 words) in which you evaluate the technique and whether it can work for Abbon. Alice envisions one filter installed on the e-mail server that would screen all e-mail as it enters the company’s network. You can use your library, your favorite search engines, or the links in the Online Companion under the heading Naïve Bayesian Filters to do your research.