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We analyze a dataset of 10,000 anonymized interaction logs containing identifiers with the pattern waaa* , un###### , and performance labels such as min best . Using DBSCAN and t-SNE visualization, we identify three distinct clusters: high-frequency outliers ( waaa436 ), temporally repetitive IDs ( un020202 ), and top-decile efficiency markers ( min best ). Results suggest that un020202 is associated with near-deterministic user behavior, while min best correlates with low-latency responses. Applications include bot detection and session optimization. A release date: February 2, 2002 (formatted 020202