John B Bartholomew, Jon Clutton, Katie Burford, Eivind Aadland, Geir Kare Resaland, Esbelle M Jowers, Vanessa Errisuiz
Individual- and Environmental- Level Predictors of Recess Activity and Sedentary Behavior: Findings from the I-CAN! study
Translational journal of the American College of Sports Medicine
results anomaly detection sensitive choice detection algorithms specialized different properties data especially multidimensional data thus vital select algorithm appropriately systematically select algorithms ensemble analysis techniques developed support assembly comparison heterogeneous algorithms however challenges remain due absence ground truth interpretation evaluation anomaly detectors paper present visual analytics system named ensemblelens evaluates anomaly detection algorithms based ensemble analysis process system visualizes ensemble processes results set novel visual designs multiple coordinated contextual views meet requirements correlation analysis assessment reasoning anomaly detection algorithms also introduce interactive analysis workflow dynamically produces contextualized interpretable data summaries allow refinements exploration results based user feedback demonstrate effectiveness ensemblelens quantitative evaluation three case studies realworld data interviews two domain experts