online read us now
Paper details
Number 2 - June 2015
Volume 25 - 2015
Can interestingness measures be usefully visualized?
Robert Susmaga, Izabela Szczęch
Abstract
The paper presents visualization techniques for interestingness measures. The process of measure visualization provides
useful insights into different domain areas of the visualized measures and thus effectively assists their comprehension and
selection for different knowledge discovery tasks. Assuming a common domain form of the visualized measures, a set of
contingency tables, which consists of all possible tables having the same total number of observations, is constructed. These
originally four-dimensional data may be effectively represented in three dimensions using a tetrahedron-based barycentric
coordinate system. At the same time, an additional, scalar function of the data (referred to as the operational function, e.g.,
any interestingness measure) may be rendered using colour. Throughout the paper a particular group of interestingness
measures, known as confirmation measures, is used to demonstrate the capabilities of the visualization techniques. They
cover a wide spectrum of possibilities, ranging from the determination of specific values (extremes, zeros, etc.) of a single
measure, to the localization of pre-defined regions of interest, e.g., such domain areas for which two or more measures do
not differ at all or differ the most.
Keywords
visualization, interestingness measures, confirmation measures, barycentric coordinates