Sciweavers

1118 search results - page 18 / 224
» A Quality Measure for Distributed Clustering
Sort
View
DEXA
2007
Springer
140views Database» more  DEXA 2007»
14 years 1 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
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
14 years 29 days ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 8 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
MM
2005
ACM
152views Multimedia» more  MM 2005»
14 years 1 months ago
Critical video quality for distributed automated video surveillance
Large-scale distributed video surveillance systems pose new scalability challenges. Due to the large number of video sources in such systems, the amount of bandwidth required to t...
Pavel Korshunov, Wei Tsang Ooi