R Bloggers highlights this function for identifying outliers in time series data sets.
Rob Hyndman explains a new R package (the anomalous package) for detecting unusual time series.
As data volumes continue to increase, it is difficult to figure out when and where a detailed investigation is needed. If anomalies can be identified, they can provide the focus for where to look. Netflix is outsourcing its Robust Anomaly Detection (RAD) for Outlier Detection on Big Data.
Twitter open sources an anomaly detection tool, an R package called BreakoutDetection. Here’s Twitter’s post about Breakout detection in the wild.
Preventing Disastrous Events Through The Power of Anomaly Detection In Machine Data zite.to/18kYXPN
Anomaly Detection Using The Adobe Analytics API zite.to/17QJC5R