… uncertain queries in detail, such as skyline queries, top-\(k\) queries, nearest-neighbor queries,
aggregate queries… multivariate pdfs, we can query uncertain objects with the analysis of …

… In other words, the answer to a query depends not only on the database contents, but also
on the time at which the query is entered. Our model also allows for uncertainty in the values …

… We also show that with a fixed probability threshold, querying uncertainty … the uncertainty
model and probabilistic threshold queries. Section 3 presents a simple index with uncertainty …

… queries (also known as ranking queries) are often natural and useful in analyzing uncertain
… threshold top-k queries on uncertain data, which computes uncertain records taking a …

… ing queries on uncertain data. First, a probability threshold top-k query computes the uncertain
… Second, a top-(k,l) query returns the top-l uncertain records whose probabilities of being …

… details of probabilistic queries, which are evaluated upon uncertain data. We first develop a
query … queries, namely range queries and nearest-neighbor queries, in Sections 3.2 and 3.3. …

… : (i) the error-query scheduling problem, … queries, and (ii) the lexicographic errorquery
scheduling problem where we seek the earliest error-free slots with the minimum number of queries…

… query, and consequently the query is unable to yield a correct answer. In general, the
incorrectness of query results is due to sensor uncertainty, … face of sensor uncertainty appears to …

… strategy for processing probabilistic nearest-neighbor queries, as the computation of these
… probabilistic query approach. The experiments show that we can achieve high quality query …

… Uncertainty Regions in 2D Space In this paper, we investigate an important type of query,
the ranked query [34], over uncertain … by users, a ranked query retrieves k data objects in the …