Reducing Classification Times for Email Spam Using Incremental Multiple Instance Classifiers

Combating spam emails is both costly and time consuming. This paper presents a spam classification algorithm that utilizes both majority voting and multiple instance approaches to determine the resulting classification type. By utilizing multiple sub-classifiers, the classifier can be updated by replacing an individual sub-classifier. Furthermore, each sub… (More)