Robust Ranking of Uncertain Data

Abstract

Numerous real-life applications are continually generating huge amounts of uncertain data (e.g., sensor or RFID readings). As a result, top-k queries that return only the k most promising probabilistic tuples become an important means to monitor and analyze such data. These “top” tuples should have both high scores in term of some ranking function, and high… (More)
DOI: 10.1007/978-3-642-20149-3_20

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