Simple fuzzy grid partition for mining multiple-level fuzzy sequential patterns

Fuzzy sequential patterns are discovered by finding intertransaction fuzzy patterns among data items at a single level. In this paper, a fuzzy data mining method for finding fuzzy sequential patterns at multiple levels of abstraction is developed. Actually, a new method is proposed to mine multiple level fuzzy sequential patterns, using fuzzy partition by a simple fuzzy grid, among data items at a concept hierarchy. The proposed method is composed of two phases: one to find frequent level crossing fuzzy l-sequences, and the other to generate multiple level fuzzy sequential patterns by analyzing the temporal relation between those frequent fuzzy l-sequences. A numerical example along with a mining process is used to illustrate the usefulness of the proposed method.