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Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. As an important problem in many applications, KNN query has been extensively investigated in the literature. In this paper, we study the problem of processing rank based KNN query against uncertain data. Besides applying the expected rank semantic to compute KNN, we also introduce the median rank which is less sensitive to the outliers. We show both ranking methods satisfydoi:10.1109/icde.2010.5447874 dblp:conf/icde/ZhangLZZL10 fatcat:dz7o4ct7fjavhebrsheorzq3wa