Argyle Data and Carnegie Mellon University Silicon Valley Announce New Research Paper: Real …

SAN MATEO, CA–(Marketwired – September 20, 2016) – Argyle Data, the leader in big data/machine learning analytics for mobile providers, and Carnegie Mellon University Silicon Valley’s Department of Electrical and Computer Engineering today announced a new research paper, “Real-time Anomaly Detection in Streaming Cellular Network Data”. The paper will be submitted for presentation at academic conferences during the first half of 2017.Fraudulent usage of cellular networks is a growing threat for both network subscribers and operators that costs the industry an estimated $38 billion a year (CFCA Survey, 2015). Other emerging consumer behaviors including over the top (OTT) applications present a growing challenge to operator revenues. This has created an increasingly urgent need for robust analytics and detection solutions capable of identifying anomalous behavior and adapting to evolving network usage…


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