Design and Analysis of a Novel Temporal Dissimilarity Measure Using Gaussian Membership function

Abstract

Earlier research works addressing the problem of mining time profiled temporal association patterns did not address the possibility of using new similarity measures in the context of time stamped temporal databases except some of our previous works. This research throws focus on designing a new similarity measure for mining similarity profiled temporal association patterns. The objective is to design a fuzzy similarity measure which can be used to discover all valid similarity profiled temporal association patterns.