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» Approximation algorithms for clustering uncertain data
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PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 4 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
PODS
2009
ACM
119views Database» more  PODS 2009»
14 years 4 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
ICTAI
2007
IEEE
13 years 10 months ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
13 years 11 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 6 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou