Goal Programming Formulations For A Comparative Analysis Of Scalar Norms And Ordinal Vs. Ratio Data

Goal programming has proven a valuable mathematical programming form in a number of venues. There has been a similar rapid growth in interest in data mining, where a variety of different data types are encountered. This paper applies goal programming formulations to compare relative performance of L1, L2, and L∞ norms as well as ordinal and ratio data types in a dynamic predictive environment. The models are applied to compare relative accuracy...