Anomaly Detection from Call Data Records

Authors:
Nithi;Lipika Dey
Affiliations:
TCS Innnovation Labs, Delhi;TCS Innnovation Labs, Delhi
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

In this paper, we propose an efficient algorithm for anomaly detection from call data records. Anomalous users are detected based on fuzzy attribute values derived from their communication patterns. A clustering based algorithm is proposed to generate explanations to assist human analysts in validating the results.