The challenge of identifying a missing value in a table often goes beyond simple data entry errors; it delves into the realm of data analysis, pattern recognition, and even predictive modeling.

Abstract: Outlier detection for mixed data is one of the key research areas in data mining. Existing ensemble strategies typically combine outlier information from various data types to assess the ...

Abstract: In the realm of data mining, outlier detection has emerged as a pivotal research focus, aimed at uncovering anomalies within datasets to extract meaningful and valuable insights. The ...