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Frequent pattern mining searches for frequently occurring sets of items or events. While users are interested in finding these frequent patterns in most situations, they may want to compare and contrast the mined frequent patterns in some other situations. For example, store managers may want to find out how the collections of frequently purchased items changed from one season to another. Similarly,...
Since the introduction of frequent pattern mining, majority of the studies have been focused on algorithmic efficiency. Many algorithms return the mining results in textual forms -- i.e., a long textual list of frequent patterns. However, it is well established that visual representation can be more compact and more comprehensive to users in visually revealing frequent patterns than textual representation...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.