Introducing practical and robust anomaly detection in a time series
Introducing practical and robust anomaly detection in a time series Both last year and this year, we saw a spike in the number of photos uploaded to Twitter on Christmas Eve, Christmas and New Year’s Eve (in other words, an anomaly occurred in the corresponding time series). Today, we’re announcing AnomalyDetection, our open-source R package that automatically detects anomalies like these in big d
TSAR, a TimeSeries AggregatoR
Twitter is a global real-time communications platform that processes many billions of events every day. Aggregating these events in real time presents a massive challenge of scale. Classic time-series applications include site traffic, service health, and user engagement monitoring; these are increasingly complemented by a range of analytics products and features such as Tweet activity, Followers,
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Robust, Scalable, Real-Time Event Time Series Aggregation at Twitter
Krist Wongsuphasawat | Publications
