Mining Emerging Gradual Patterns
Anne Laurent, Marie‐Jeanne Lesot, Maria Rifqi · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
Mining emerging patterns aims at contrasting data sets and identifying itemsets that characterise a data set by contrast to a reference data set, so as to capture and highlight their differences.This paper considers the case of emerging gradual patterns, to extract discriminant attribute co-variations.It discusses the specific features of these gradual patterns and proposes to transpose an efficient border-based algorithm, justifying its applicability to the gradual case.Illustrative results obtained from a UCI data set are described.