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Meghna Ghosh
CHRIST (Deemed To Be University)
Computer Science & IT Electrical & Electronics Engineering

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Empirical analysis of ensemble methods for the classification of robocalls in telecommunications Meghna Ghosh; Prabu P.
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.972 KB) | DOI: 10.11591/ijece.v9i4.pp3108-3114

Abstract

With the advent of technology, there has been an excessive use of cellular phones. Cellular phones have made life convenient in our society. However, individuals and groups have subverted the telecommunication devices to deceive unwary victims. Robocalls are quite prevalent these days and they can either be legal or used by scammers to trick one out of their money. The proposed methodology in the paper is to experiment two ensemble models on the dataset acquired from the Federal Trade Commission(DNC Dataset). It is imperative to analyze the call records and based on the patterns the calls can classify as a robocall or not a robocall. Two algorithms Random Forest and XgBoost are combined in two ways and compared in the paper in terms of accuracy, sensitivity and the time taken.
Co-Authors Prabu P.