Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions

By Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay Ngai, B. Kao, Sunil Prabhakar. Very Large Data Bases Conference, 2005

320 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Probabilistic Skylines on Uncertain Data (2007, background): “Tao et al. [28] investigated probabilistic range queries on multi-dimensional space with arbitrary probability density functions.”
A Survey of Uncertain Data Algorithms and Applications (2009, background): “An interesting technique discussed in [77] examines the problem for the case of arbitrary probability density functions.”
ULDBs: databases with uncertainty and lineage (2006, background): “, [2, 5, 20, 24, 28, 29, 32, 37, 40] for uncertain data and [12, 16, 17, 18, 35, 36] for data lineage).”
Ranking queries on uncertain data: a probabilistic threshold approach (2008, background): “Tao et al. [ 27 ] proposed a U-tree index to facilitate probabilistic range queries on uncertain objects represented by multi-dimensional probability density functions.”