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» Clustering with or without the Approximation
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DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
14 years 3 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
IPL
2007
96views more  IPL 2007»
13 years 8 months ago
On constructing an optimal consensus clustering from multiple clusterings
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao, Jie...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 6 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
ICDE
2001
IEEE
206views Database» more  ICDE 2001»
14 years 10 months ago
Cache-Aware Query Routing in a Cluster of Databases
We investigate query routing techniques in a cluster of databases for a query-dominant environment. The objective is to decrease query response time. Each component of the cluster...
Uwe Röhm, Klemens Böhm, Hans-Jörg S...
ICDE
2008
IEEE
166views Database» more  ICDE 2008»
14 years 10 months ago
A Clustered Index Approach to Distributed XPath Processing
Supporting top-k queries over distributed collections of schemaless XML data poses two challenges. While XML supports expressive query languages such as XPath and XQuery, these la...
Georgia Koloniari, Evaggelia Pitoura