Chinese Spam Filtering Algorithms Based on Case Base Reasoning
Wang Ling-fen · Microelectronics & Computer · 2009
Considering concept drift of the spam,this paper analyzes the disadvantages of the spam filtering algorithms on use and proposes a spam filtering algorithm based on CBR(Case-base Reasoning). After identifying features of spam,this paper designs an alternative similarity retrieval algorithm based on Case Retrieval Nets (CRNs),which has pre-computation phrase for speeding up retrieval. Experiments on the spam filtering algorithm have been presented and the results show that the algorithm achieves better performance of changing spam filtering compared with the traditional Bayes.