Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...
Pankaj K. Agarwal, Siu-Wing Cheng, Yufei Tao, Ke Y...
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...
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...