Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data
By Reynold Cheng, Yuni Xia, Sunil Prabhakar, Rahul Shah, Jeffrey Scott Vitter. Very Large Data Bases Conference, 2004
311 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/1001ec3f3c4f21a1194485f7f2af558f4e7170b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Philip S. Yu
- Charu C. Aggarwal
- Reynold Cheng
- Sunil Prabhakar
- Yufei Tao
- Xiaokui Xiao
- Jiawei Han
- Mohammed J. Zaki
In Information Systems
- Charu C. Aggarwal
- Philip S. Yu
- Yufei Tao
- Reynold Cheng
- Xiaokui Xiao
- Sunil Prabhakar
- Jiawei Han
- Yongfeng Zhang
In Signal Processing
- Charu C. Aggarwal
- Philip S. Yu
- Reynold Cheng
- Sunil Prabhakar
- Yufei Tao
- Xiaokui Xiao
- Jiawei Han
- Pavel Berkhin
Citations in the corpus
- Delay aware querying with Seaweed (2006, unknown): “PTQs [11] and histogram-based approximation [17] are examples of more sophisticated techniques that might support summary-based estimation for a wider range of queries.”
- A Survey of Uncertain Data Algorithms and Applications (2009, methodology): “A number of index structures have been proposed in [24] in order to resolve this query.”
- Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions (2005, methodology): “Although conventional range search (on a “precise” dataset) has been very well studied [1, 3], its solutions are not applicable to uncertain data, since they do not consider the probabilistic requirements [6].”