Personal intelligent spam filter | |
| Author | Phattanapon Rhienmora |
| Call Number | AIT Thesis no.CS-04-02 |
| Subject(s) | Unsolicited electronic mail messages Electronic mail systems |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-04-02 |
| Abstract | Communication via email could have been more reliable if there were no unsolicited commercial email so-called spam. Unwanted advertisement and materials attached with spam have cost time and money of both normal user and business. This study demonstrates an efficient, intelligent way of spam filtering based on Naive Bayes classifier to detect spam at the server level. The filter tailors itself to each individual user by enabling correction for misclassified emails to make a better result. The filter prototype is installed on the mail server to demonstrate real usage scenario. After implementing it, email users would notice an enormously decreased amount of spam in a short time. |
| Year | 2004 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-04-02 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Haddawy, Peter; |
| Examination Committee(s) | Phan Minh Dung; Guha, Sumanta ; |
| Scholarship Donor(s) | The Royal Thai Government Fellowship; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2004 |