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What is Outlier Detection Techniques in Data Science about?
Unit 5 of the Advanced Data Mining course focuses on outlier detection, covering definitions, types of outliers, and various detection approaches including statistical, proximity-based, clustering-based, and classification-based methods. It discusses the characteristics and sources of outliers, their impact on data analysis, and the challenges faced in detecting them. Applications of outlier detection techniques span multiple fields such as fraud detection and network security.
- Author
- pra Bee In adhikari
- Language
- EN