Feature Engineering

About

In Feature engineering, you are:

• creating derived features
• normalize them

Articles Related

Example

Fraud detection

Data Mining - Fraud Detection

• Aggregated variables. Example: aggregated transaction count per account in last 24 hours to spot abnormal amount
• Mismatch variables. Example: delivery country <> normal delivery country
• Risk tables. Probability Risks grouped by country, state, IP Address, etc..

Documentation / Reference

• http://www.feat.engineering/