contents of both stored and new incoming messages. This research has established a classification model which classifies the …-mail classification into user defined word classes corresponding to pre-formated class identity, and was able to learn in an associative … used for automated e-mail classification into meaningful classes …

. This study proposes a classification and regression tree (CART) to explain the prediction mechanism of a DNN for job cycle …

have taken. Classification accuracy is 96% and low false positive rates have been achieved in fuzzy filter using bounded …

Risk management is one of the most important branches of business and finance. Classification models are the most … classification models, credit scoring is often a difficult task. On the other hand, there is no universal credit-scoring model in the … efficiency of credit-scoring models has never stopped. In this paper, a hybrid soft intelligent classification model is proposed …