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ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 6 months ago
Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data
on Uncertain Data (Extended Abstract) Ming Hua Jian Pei Wenjie Zhang Xuemin Lin Simon Fraser University, Canada The University of New South Wales & NICTA {mhua, jpei}@cs.sfu.c...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
VLDB
2004
ACM
142views Database» more  VLDB 2004»
13 years 10 months ago
Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data
Reynold Cheng, Yuni Xia, Sunil Prabhakar, Rahul Sh...
SIGMOD
2010
ACM
153views Database» more  SIGMOD 2010»
13 years 9 months ago
Threshold query optimization for uncertain data
The probabilistic threshold query (PTQ) is one of the most common queries in uncertain databases, where all results satisfying the query with probabilities that meet the threshold...
Yinian Qi, Rohit Jain, Sarvjeet Singh, Sunil Prabh...
EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 8 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 5 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin