Approximate data matching applications typically use similarity functions to quantify the degree of likeness between two data instances. There are several similarity functions available, thus, it is often necessary to evaluate a number of them aiming at choosing the function that is more adequate to a specific application. This paper presents a tool that uses average precision and discernability to evaluate the quality of similarity functions over a data set.
Carlos A. Heuser, Francisco N. A. Krieser, Viviane