Applying outlier detection

Outlier detection using SQL can be applied in various industries and use cases where identifying and addressing unusual data points is important. Here are some examples:

• Fraud detection: SQL can be used to identify unusual transactions or behaviors in financial data that may indicate fraud. By using SQL to analyze large volumes of transaction data, financial institutions can identify potential fraudsters and take action to prevent fraudulent activity.
• Healthcare: SQL can be used to identify unusual patient health data, such as abnormal lab test results, which may indicate the presence of a disease or health condition. By using SQL to analyze patient health data in real time, healthcare providers can identify potential health issues and provide early intervention.
• Retail: SQL can be used to identify unusual customer behavior, such as high-value purchases or returns, which may indicate potential fraud or theft. By using SQL to analyze customer...