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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...
The information in some applications, such as sensor networks, is inherently imprecise. The traditional techniques are unworkable to manage uncertain data efficiently and effectively. In this paper, we research one of the important data management technology, probabilistic Top-k query over uncertain data, which plays an important role in many applications including multicriteria decision making and...
Road recognition is one of the key technologies in the vision-based intelligent navigation system. In this paper, we present a novel non-parametric estimation model and a robust approach for the unstructured road recognition. The model keeps a set of sample for both road region and off-road region, and then estimates the probability of a newly pixel based on color information. For improving the real...
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