Identifying Top k Dominating Objects over Uncertain Data

  title={Identifying Top k Dominating Objects over Uncertain Data},
  author={Liming Zhan and Ying Zhang and Wenjie Zhang and Xuemin Lin},
Uncertainty is inherent in many important applications, such as data integration, environmental surveillance, location-based services (LBS), sensor monitoring and radio-frequency identification (RFID). In recent years, we have witnessed significant research efforts devoted to producing probabilistic database management systems, and many important queries are re-investigated in the context of uncertain data models. In the paper, we study the problem of top k dominating query on multi-dimensional… CONTINUE READING
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