Sciweavers

AUSAI
2010
Springer
13 years 7 months ago
A Heuristic on Effective and Efficient Clustering on Uncertain Objects
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
Edward Hung, Lei Xu, Chi-Cheong Szeto
TKDE
2010
190views more  TKDE 2010»
13 years 8 months ago
Effectively Indexing the Uncertain Space
—With the rapid development of various optical, infrared, and radar sensors and GPS techniques, there are a huge amount of multidimensional uncertain data collected and accumulat...
Ying Zhang, Xuemin Lin, Wenjie Zhang, Jianmin Wang...
TKDE
2010
251views more  TKDE 2010»
13 years 8 months ago
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
—We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises...
Ben Kao, Sau Dan Lee, Foris K. F. Lee, David Wai-L...
CIDM
2007
IEEE
14 years 1 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung
CIKM
2009
Springer
14 years 2 months ago
Probabilistic skyline queries
The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented ...
Christian Böhm, Frank Fiedler, Annahita Oswal...
VLDB
2007
ACM
149views Database» more  VLDB 2007»
14 years 4 months ago
Probabilistic Skylines on Uncertain Data
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of qu...
Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan
ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
14 years 4 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
ICDE
2010
IEEE
254views Database» more  ICDE 2010»
14 years 9 months ago
Efficient Rank Based KNN Query Processing Over Uncertain Data
Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. As an important problem in many applications, KNN query has...
Ying Zhang, Xuemin Lin, Gaoping ZHU, Wenjie Zhang,...