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Mining association rules is to discover associations among purchased items, which are valuable for cross-marketing, catalog design, add-on sales, store layout and customer segmentation. Mining web traversal patterns is to discover traversal sequences for most of the web users, which can provide navigation suggestions for web users. However, association rules cannot describe navigation behaviors of...
Mining frequent patterns is an important task for knowledge discovery, which discovers the groups of items appearing always together excess of a user specified threshold. A famous algorithm for mining frequent patterns is FP-Growth which constructs a structure called FP-tree and recursively mines frequent patterns from this structure by building conditional FP-trees. However, It is costly to recursively...
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.