Coalescing AHP and Bayesian Algorithm of Mail Filtering Model
LI Yua · Computer Knowledge and Technology · 2015
E-mail brings unprecedented chances and challenges with the development of big data.This thesis supplements the ex-isting filtering spam system. The multistage retrieval based on AHP matches with the lexicon of affixes and words which is built upby Bayesian algorithm. Then we decide whether it is spam by the quantitative results of stepwise retrieval. The layered retrievalmodel based on Bayesian algorithm has an advantage of combination between quantitative and qualitative analysis. This modelprovides a new idea for improving the filtering spam system.