Onion-Peeling Outlier Detection in 2-D data Sets

no code implementations • 12 Mar 2018 • Archit Harsh, John E. Ball, Pan Wei

Outlier Detection is a critical and cardinal research task due its array of applications in variety of domains ranging from data mining, clustering, statistical analysis, fraud detection, network intrusion detection and diagnosis of diseases etc.

Clustering Fraud Detection +2

Measuring Conflict in a Multi-Source Environment as a Normal Measure

no code implementations • 12 Mar 2018 • Pan Wei, John E. Ball, Derek T. Anderson, Archit Harsh, Christopher Archibald

The results demonstrate that the proposed measure can represent conflict in a meaningful way similar to what a human might expect and from it we can identify conflict within our sources.