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Usage of R Programming in Data Analytics with Implications on Insurance Fraud Detection

  • Ananthi Sheshasaayee
  • Surya Susan ThomasEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)

Abstract

Data logistics and data mining has a dominant role in fraud detection and prevention scenario. Fraud analysts and risk analysts work cordially to develop a better fraud prevention and detection mechanism every year. Machine learning and Deep learning along with some statistical techniques can bring hefty changes in handling fraudsters in this sector. There are various softwares designed to handle this situation, but this paper discusses the aspects of R program in administrating the frauds in insurance claim management.

Keywords

Data analytics Machine learning Fraud detection Insurance claims R software 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.PG & Research Department of Computer ScienceQuaid-E-Millath Government College for WomenChennaiIndia

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