Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Abstract. The emergence of handheld devices associated with wireless technologies has introduced new challenges for middleware. First, mobility is becoming a key characteristic; mo...
A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow managemen...