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The skyline query is a most useful tool to find out attractive products. However, it does little to help select the product combinations with the maximum discount rate. Motivated by this, we identify an interesting problem, a most preferential skyline product (MPSP) combination discovering problem, which is NP-hard, for the first time in the literature. This problem aims to report all skyline product...
In this paper, we research the relationship between the probabilistic products and customer preferences, which has not been studied before. In order to find out products which can meet a customer's maximum demand, we present an uncertain dynamic skyline (UDS) query, and propose effective pruning strategies to reduce the search space of the UDS query processing. In addition, effective algorithms are...
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