Studies on Association Rule-based Table Data Analysis and its Applications - New Mathematics for Data Sciences - (An Invited Tutorial Paper)

Abstract

This tutorial paper will survey the research on association rule-based table data analysis and its application. The proposed methods obtain helpful information from discrete table data through rules, which differs from statistical table data analysis by mean or variance. Regression expressions in continuous value table data can characterize past data and predict future data values. The same will hold for rules in discrete value table data. This tutorial paper consists of the following three parts. Part I: Background and Examples of Rule Generation from Tables Part II: Mathematical Research of Rule Generation from Tables Part III: Realization of Software Tools and Applications. We introduce the research trends in this field widely through three parts.