Abstract
Mining similar temporal association patterns from time stamped temporal databases is an important research problem focused much recently. The imperative objective of current research is in finding similar temporal patterns from a given time stamped temporal database of transactions by scanning the input database only once. The objective to find temporally similar patterns through single scan of database coins out an important challenge to devise a single database scan procedure which shall use only support values of singletons computed in the first database scan, so as to discover all other temporal patterns. In the current research, we come out with a novel procedure to discover similar temporal patterns with respect to a reference sequence of support values for a given threshold limit. In this paper, we come up with an innovative approach to find similar temporal patterns followed by a case study. The approach is efficient in terms of space and time as it eliminates repeated scan of database by computing temporal frequent patterns or temporally similar patterns in only a single database scan.
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