Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

Provides analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. Chapters introduce feature engineering and recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data.