Use of Possibilistic fuzzy C-means clustering for telecom fraud detection
S Subudhi, S Panigrahi - … Intelligence in Data Mining: Proceedings of the …, 2017 - Springer
This paper presents a novel approach for detecting fraudulent activities in mobile
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
Use of Possibilistic Fuzzy C-means Clustering for Telecom Fraud Detection
S Subudhi, S Panigrahi - Computational Intelligence in Data Mining, 2016 - Springer
This paper presents a novel approach for detecting fraudulent activities in mobile
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
[PDF][PDF] Use of Possibilistic Fuzzy C-means Clustering for Telecom Fraud Detection
S Subudhi, S Panigrahi - 2017 - researchgate.net
This paper presents a novel approach for detecting fraudulent activities in mobile
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
[PDF][PDF] Use of Possibilistic Fuzzy C-means Clustering for Telecom Fraud Detection
S Subudhi, S Panigrahi - 2017 - researchgate.net
This paper presents a novel approach for detecting fraudulent activities in mobile
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …
telecommunication networks by using a possibilistic fuzzy c-means clustering. Initially, the …