datederived
Datederived is a term used in data analysis to describe outputs generated from date fields or time-related data. It covers features, metrics, and datasets obtained by manipulating or summarizing dates, times, and temporal intervals. The concept emphasizes transforming raw date information into usable inputs for models or analyses.
Datederived features commonly include age in days, time since a user’s last action, the number of events
Origins of the term are informal, arising in data science and time-aware analytics discussions. It aligns with
Applications of datederived features appear across machine learning and analytics. They can improve models for churn
Limitations and considerations include dependence on date data quality, correct handling of time zones, missing or
See also: feature engineering, time series analysis, temporal data mining, rolling statistics, calendar calculations.