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Monthly Archives: September 2020
Time Series Change Point Detection with Two Sample Statistic on Spark with Application for Retail Sales Data
The goal of change point detection is to detect the times when statistically significant and sustained changes happen in a time series. It has wide range of applications in various domains including retail, medical, IoT, finance, business and meteorology. In … Continue reading
Posted in Anomaly Detection, Big Data, Data Science, Scala, Spark, Time Series Analytic
Tagged change point, time series, two sample statistic
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