Sequential Pattern Mining Methods: A Snap Shot
Sequential Pattern Mining (SPM) is an important data mining task of discovering time-related behaviors in sequence databases. Sequential pattern mining technology has been applied in many domains, like web-log analysis, the analyses of customer purchase behavior, process analysis of scientific experiments, medical record analysis, etc. Increased application of sequential pattern mining requires a perfect understanding of the problem and a clear identification of the advantages and disadvantages of existing algorithms. SPM algorithms are broadly categorized into two basic approaches: apriori based and pattern growth.