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…
Link to Full Article: Argyle Data and Carnegie Mellon University Silicon Valley Announce New Research Paper: Real …
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