ICOD: Inclusion Degree-Based Conditional Outlier Detection in Mixed Attribute Data
Abstract Purpose This study aims to detect conditional outliers, which become anomalous only within a specified context, in mixed attribute data. It addresses contextual relevance, uncertainty and fuzziness that are often overlooked by conventional methods. Design/Methodology/Approach ICOD integrates fuzzy inclusion th...