Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model

@article{Subudhi2016DetectionOM,
  title={Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model},
  author={Sharmila Subudhi and Suvasini Panigrahi and Tanmay Kumar},
  journal={Int. J. Synth. Emot.},
  year={2016},
  volume={7},
  pages={23-44}
}
This paper presents a novel approach for fraud detection in mobile phone networks by using a combination of Possibilistic Fuzzy C-Means clustering and Hidden Markov Model HMM. The clustering technique is first applied on two calling features extracted from the past call records of a subscriber generating a behavioral profile for the user. The HMM parameters are computed from the profile, which are used to generate some profile sequences for training. The trained HMM model is then applied for… 

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