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RAN Anomaly Detection

Keywords: Anomaly Detection, Behavioural Analysis, Logistic Regression, Kafka, Spark, spark Streaming, Unsupervised Machine Learning, Fuzzy Clustering, Time Series Analysis, Arima, Entropy Index, Index of Dispersion, Correlation Index (Pearson, Kendall, Spearman), MLib and R.

 

The complexity of mobile Radio Access Networks is quickly increasing and demanding additional efforts to monitor and maintain. Thingbook learns network data’s behaviour to automatically detect anomalies, correlate Key Performance Indicators (KPIs) behaviours, discover new patterns and perform root-cause analysis helping Telcos to optimize service levels, minimize overhead costs and maximize profitability.

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