Adaptive Multi‐Axis Partitioning and Data Pruning for Parallel Outlier Detection in Large‐Scale High‐Dimensional Data
With the explosive growth of large‐scale, high‐dimensional data in fields such as finance, IoT, and bioinformatics, parallel outlier detection has become essential for efficiently identifying outliers while enabling scalable processing. However, most existing approaches suffer from high interdependency between comput...