Sequential Pattern Mining is a form of data mining specialized to interpret sets of sequential data, known as events or elements. It tracks the chronological order of multiple processes and searches for patterns and subsequences within them. For a pattern to be deemed significant, it must surpass the Minimum Support Threshold, which is a parameter that indicates the minimum number of times it should appear in a data set. The subsequences that surpass this threshold are noted and charted for analysis. Sequential Pattern Mining looks at the frequency, length and profit of each pattern to form correlations and conclusions. It generates an understanding from the data to support cause and effect assumptions using real analytical measures.

     Scientists and Researchers use Sequential Pattern Mining to interpret DNA sequences and gene structures. The method creates measurable connections between certain genes and a person’s traits or behaviors. Within the Medical Industry, this pattern mining technique is used to quantify the correlation between medical treatments and their effects on patients. If a pattern surpasses the minimum threshold, it becomes safe to assume that it is a result of the treatment. In the Advertising Field, companies use Sequential Pattern Mining to learn which products or services are frequently purchased together and in sequence. The information derived from the analysis helps companies in product shelf placement or to create promotions. Engineers use Sequential Pattern Mining to develop economical solutions to technical problems, and to measure the soundness of their discoveries as it pertains to successfully addressing needs.

     Another great example is for that of a fitness center and memberships. Can you determine the traits of a member that is likely not to renew their membership? Typically, a business spends a large portion of their budget for advertising in the desire for gaining new customers. This amount far exceeds the cost of retaining that customer, it only makes sense to identify those customers early to minimize the impact on your financial bottom line.