Kaoru Shimada

An Evolutionary Rule Mining Method for Continuous Value Prediction from Incomplete Database and Its Application Utilizing Artificial Missing Values

2015

A rule mining method for continuous value prediction has been proposed to handle incomplete databases using a graph structure-based evolutionary computation technique. The method extracts the associative local distribution rule, the consequent part of which …

Instance-Based Discovery of ItemSBs Leveraging Individuality Through Discretization

2024

This study proposes a novel instance-based method for discovering itemsets with statistically distinctive backgrounds (ItemSBs) by discretizing continuous attribute values. Instead of discretizing an entire dataset, in this method, each instance's continuous attributes are discretized …