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Link prediction finds missing links in static networks or future (or new) links in dynamic networks. Its study is crucial to the analysis of the evolution of networks. In the last decade, lots of works have been presented on link prediction in social networks. Link prediction has been playing a pivotal role in course of analyzing complex networks including social networks, biological networks, etc...
High utility itemsets mining is a subfield of data mining with wide applications. Although the existing high utility itemsets mining algorithms can discover all the itemsets satisfying a given minimum utility threshold, it is often difficult for users to set a proper minimum utility threshold. A smaller minimum utility threshold value may produce a huge number of itemsets, whereas a higher one may...
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.