ABSTRACT
This chapter illustrates the importance of straight data and considers the data mining feature, straightening data, of the GenIQ Model. An alternative method for straightening data, especially characterized by nonlinearities, is the GenIQ procedure, a machine-learning, genetic-based data mining method. The chapter also considers the GenIQ Model to reexpress INCOME. The structure uses the nonlinear reexpressions of the trigonometric sine function and the log function to loosen the "kinky" PROFIT–INCOME relationship. The chapter recalls data mine for the underlying structure of the paired variables using a machine-learning approach to the discipline of evolutionary computation, specifically genetic programming (GP). The data mining work is not an expenditure of preoccupied time or mental effort as the GP-based data mining (GP-DM) is a machine-learning adaptive intelligent process, which is quite effective for straightening data. The data mining software used is the GenIQ Model, which renames the data-mined variable with the prefix GenIQvar.
