Outlier Detection in Heterogeneous Data: A Consistency-Guided Approach

This ArXiv paper explores a novel semi-supervised method for outlier detection using fuzzy rough sets. The research focuses on handling heterogeneous data, a common challenge in real-world applications.

• •Focuses on outlier detection in heterogeneous datasets.
• •Employs a semi-supervised approach, leveraging consistency.
• •Utilizes fuzzy rough sets for data analysis.