Detecting and Coloring Anomalies in Real Cellular Network Using Principle Component Analysis - researchr publication authors

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Yoram Segal, Dan Vilenchik, Ofer Hadar. Detecting and Coloring Anomalies in Real Cellular Network Using Principle Component Analysis. In Itai Dinur, Shlomi Dolev, Sachin Lodha, editors, Cyber Security Cryptography and Machine Learning - Second International Symposium, CSCML 2018, Beer Sheva, Israel, June 21-22, 2018, Proceedings. Volume 10879 of Lecture Notes in Computer Science, pages 68-83, Springer, 2018. [doi]

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