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Outlier detection is an important research problem in data mining and image analysis. In this paper, the ideas in the PageRank algorithm are borrowed to construct a novel outlier detection method. In this method, three detecting stages are performed to detect three different types of outliers by using different detecting strategies. The whole process is called tri-stage detection. Effectiveness of...
One of the key problems of information extraction is to design a cross domain extraction procedure that can adapt different domain topics and text formats. However, most information extraction methods focus on specific areas or only have limited scalability for semi-structured texts. We argue that the problem of cross domain information extraction is basically introduced by domain related features...
This paper studies the bidding behavior and the expected profits in the pay-per-bid auctions. By collecting auction data on bidxi.com, we make the two-step cluster analysis to divide bidders into irrational bidders and rational bidders. It shows that no matter what strategies bidders are used, their expected profits are always negative. Then, we analyze the impact of some factors on the auction price...
Collecting auction data on jinmajia.com, we make an analysis on bidding behaviors in simultaneous ascending-bid auctions. Our results indicate that it is not optimal for bidders to use the late- and cross-bidding strategies in the large simultaneous ascending-bid auctions with the soft ending rule.
Transportation facilities management faces the challenge of huge amount of geographically dispersed facilities. Communication between them is one of the critical issues. Recent studies show that IT technology is one of efficient solutions. The development of IPv6 enables the possibility of connecting all the facilities to Internet with its large address space and improved performance in routing, mobility...
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