A computationally optimal approach for extracting similar temporal patterns

Determining similar temporal patterns and unearthing eccentric patterns require an efficient similarity measure and approach for association patterns support estimation. This research addresses the similarity measure for revealing similar temporal patterns using a similarity measure and approach for estimating support bounds of temporal patterns. A case study is demonstrated to show working of the proposed approach.