Event Ticketing Fraud Detection Complex Query

Create an advanced SQL query using window functions and statistical analysis to detect potential ticket purchasing fraud in a large entertainment ticketing system. The solution must identify suspicious purchasing patterns by analyzing transaction velocity, geographic inconsistencies, and unusual buying behaviors. Implement a scoring mechanism that flags potential fraudulent transactions with over 85% accuracy, using machine learning-inspired statistical techniques directly within SQL.