The Apriori algorithm is a data mining algorithm which is used for frequent item set mining. The frequent item set are the distinct crime types that are evaluated. The selection of item set is based on minimum support count selected which specifies which item sets to consider as frequent items in the given set of transactions. All item sets below the minimum support count are discarded.
This means all the items appearing in the frequent item set grid have occurred more number of times than the minimum support count after scanning all transactional records. The grid shown in Figure 19 displays the frequent item sets that satisfy the user supplied minimum support count.The grid in Figure 19 displays the frequent item sets generated based on on-campus crime records for Alabama State University for a five year period from 2009 to 2013.