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» Clustering performance data efficiently at massive scales
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219
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ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 2 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
115
Voted
APVIS
2010
14 years 10 months ago
Interactive local clustering operations for high dimensional data in parallel coordinates
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
Peihong Guo, He Xiao, Zuchao Wang, Xiaoru Yuan
100
Voted
SIAMSC
2008
173views more  SIAMSC 2008»
15 years 21 days ago
A Fast Iterative Method for Eikonal Equations
In this paper we propose a novel computational technique to solve the Eikonal equation. The proposed method manages the list of active nodes and iteratively updates the solutions ...
Won-Ki Jeong, Ross T. Whitaker
124
Voted
WWW
2008
ACM
16 years 1 months ago
Efficiently querying rdf data in triple stores
Efficiently querying RDF [1] data is being an important factor in applying Semantic Web technologies to real-world applications. In this context, many efforts have been made to st...
Ying Yan, Chen Wang, Aoying Zhou, Weining Qian, Li...
114
Voted
IS
2008
15 years 24 days ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...