Inductive Learning Structure for Knowledge Discovery in Ubiquitous Environment

In this paper, a new inductive learning structure based on fuzzy logic in the life-long learning paradigm is proposed. During the inductive learning process, data-customized fuzzy partitioning of each input space is done. Also, rule-based meaningful knowledge is found by conducting data-level inductive learning and rule-level inductive learning process in short-term, transition and long-term memory. Among these learning process, data-level inductive learning process in the short-term memory and feature selection process in transition memory are mainly dealt.