Feature Engineering

Table of Contents

1 - About
2 - Articles Related
3 - Example
- 3.1 - Fraud detection
4 - Documentation / Reference

1 - About

In Feature engineering, you are:

creating derived features
normalize them

2 - Articles Related

Data Mining - (Life cycle|Project|Data Pipeline)

3 - Example

3.1 - 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..

4 - Documentation / Reference

http://www.feat.engineering/

data_mining/feature_engineering.txt · Last modified: 2018/11/11 15:23 by gerardnico