- Differ Significantly between numeric and categorial features
- Periodicity - Year, Date, Week
- Time Slice - Time past since particular moment (before / after), Time moments in period
- Difference in Dates (Datetime_feature1 - Datetime_feature2)
- Special Time period (Medication every 3 days)
- Sales Predictions (Days since last holiday, Days since weekend, Since last sales campaign)
- Boolean binary indicating date is holiday or not
- Sales Context Churn Prediction
- (Date Since user registration) - DateDiff
- (Date Since last purchase) - DateDiff
- (Date Since calling customer service) - DateDiff
- Periodicity - Day number in week, month, season, year, second, minute, hour
- Time Slice, Difference between dates
- This can be used for churn prediction (Likelihood customer will return)
- In Real Estate Scenario for predictions on Prices
- (Distance from School)
- (Distance from Airport)
- (Flats around particular point)
- Alternatively distance from maximum expensive flat
- Centre of clusters and find distances from centre point
- Aggregated Statistics for surrounding data
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