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Uncertain data becomes important and prevalent in many critical applications, such as sensor networks, location-based services, and health-informatics. Due to the importance of those applications and increasing amounts of uncertain data, effective and efficient uncertain data analysis has received more and more attentions from the research community. In this book, we study ranking queries on uncertain data. Particularly, we develop three extended uncertain data models based on the state-of-the-art uncertain data models and propose five novel ranking problems on uncertain data.
KeywordsUncertain Data Skyline Query Membership Probability Typicality Query Path Query
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