Data Mining: A 'RIM' Algorithm for Spyware Detection With Pruning

Provided by: Indian Journal of Computer Science and Engineering (IJCSE)
Topic: Big Data
Format: PDF
In this paper, the authors employ the principles of data mining and classify a new algorithm. In this method, they have proposed a new anti-spyware system (spyware detection), which is capable for classifying spyware files from legitimate files. Also they have evaluated the performance of their anti-spyware system with the existing anti-spywares in terms of overall ACCuracy (ACC) and False Positive Rate (FPR). This paper describes the use of classification trees and shows the methods of pruning them using the new algorithm.

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