Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming Anomaly detection covers a large number of data analytics use cases.

A significant update to Adobe’s Analytics suite seems almost on cue from Google, which recently formalized data-driven attribution modeling for Analytics Premium users. One new feature, Anomaly ...

Google rolls out Analytics updates: new visualization tools, anomaly detection, and enhanced revenue tracking. Google Analytics now lets you compare up to five metrics side by side. New anomaly ...

This technology provides analysts with scalable and interactive social media analysis and visualization through topic extraction, combination of filters, cluster examination, and stream categorization ...

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis. As time series data analysis becomes more essential in applications across ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...