ABSTRACT
This chapter explores Data Mining in Human Capital Management and covers Decision Tree algorithms extensively in exploring primarily Pay Equity relationships and patterns across a number of potentially related variables, including Pay level, Gender, Age, Occupation, Length of Service, and other employee categories. Online Analytical Processing and Data Mining are used to address different kinds of issues. Algorithms in Data Mining provide both Supervised and Unsupervised Learning. Decision Trees, Classification and Regression are examples of Supervised Learning procedures. Even though SQL Server Analysis Services Databases can be opened with either SQL Server Management Studio or Visual Studio 2017 with Microsoft Analysis Services Modeling Projects Extension, Visual Studio needs to be used to create and develop Data Mining Structures. SQL Server Analysis Services were used to construct a number of Data Mining Models to explore Gender-Based Pay Equity and Occupational Mobility in the Federal Government.
