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ICDE
2008
IEEE
563views Database» more  ICDE 2008»
15 years 7 months ago
Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data
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...
ICONIP
2009
13 years 5 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
14 years 2 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...
GI
2009
Springer
13 years 5 months ago
Towards Integration of Uncertain Sensor Data into Context-aware Workflows
: The integration and usage of uncertain sensor data in workflows is a difficult problem. In this paper we describe these difficulties which result from the combination of very dis...
Matthias Wieland, Uwe-Philipp Käppeler, Paul ...
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 5 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...