Abstract
Internet society suffers from a lot of problems including the spam in the content which an user get online. It is not necessary that the each user likes each type of categorical data. Hence, before identifying the spam, it is also required to identify the community of the data. The proposed architecture utilizes the concept of binary classification of SVM (Support Vector Machine) and the concept of multiclass classifier of Neural Network to identify the SPAM and category of the data received online. This paper describes a hybrid clustering mechanism of NEUROSVM to justify the classification mechanism. The evaluation has been done using evaluation parameters of tp, fp, tn, fn.
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