Kirk Borne says classic outlier-detection methods remain highly relevant for temporal financial datasets. The techniques also apply across business, medical, cr

Kirk Borne says classic outlier-detection methods remain highly relevant for temporal financial datasets. The techniques also apply across business, medical, credit, sensor and spatiotemporal data, underscoring broad use in time series and network analysis.