Beyond the baseline assignment, some students created dashboards that include information on graduate enrollment, degrees and areas of study. Others created Tableau Stories, which combine dashboards ...

Our goal is to generate comprehensible and accurate models from multiple time series for anomaly detection. The models need to produce anomaly scores in an online manner for real-life monitoring tasks ...

Time-series data-usually presented in the form of lines-plays an important role in many domains such as finance, meteorology, health, and urban informatics. Yet, little has been done to support ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.