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» Streaming-Data Algorithms for High-Quality Clustering
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ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 7 months ago
Approximate Clustering on Distributed Data Streams
Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...
Qi Zhang, Jinze Liu, Wei Wang 0010
DEXA
2007
Springer
140views Database» more  DEXA 2007»
13 years 12 months ago
Clustering-Based K-Anonymisation Algorithms
Abstract. K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of suc...
Grigorios Loukides, Jianhua Shao
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
13 years 10 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
ACMSE
2010
ACM
13 years 3 months ago
Mining relaxed closed subspace clusters
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
Erich Allen Peterson, Peiyi Tang
KES
2010
Springer
13 years 4 months ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas