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IJON
2006
60views more  IJON 2006»
14 years 9 months ago
Spatiotemporal clustering of synchronized bursting events in neuronal networks
in vitro neuronal networks display Synchronized Bursting Events (SBEs), with characteristic temporal width of 100-500 ms and frequency of once every few seconds. We analyze such d...
Uri Barkan, David Horn
ASPLOS
2011
ACM
14 years 1 months ago
Blink: managing server clusters on intermittent power
Reducing the energy footprint of data centers continues to receive significant attention due to both its financial and environmental impact. There are numerous methods that limi...
Navin Sharma, Sean Barker, David Irwin, Prashant J...
WISE
2009
Springer
15 years 6 months ago
Clustering of Social Tagging System Users: A Topic and Time Based Approach
Abstract. Under Social Tagging Systems, a typical Web 2.0 application, users label digital data sources by using freely chosen textual descriptions (tags). Mining tag information r...
Vassiliki A. Koutsonikola, Athena Vakali, Eirini G...
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
15 years 10 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
JSW
2007
96views more  JSW 2007»
14 years 9 months ago
IP-based Clustering for Peer-to-Peer Overlays
— The efficiency of overlay networks built on top of the IP network is often threatened by the mismatch between the topologies of the overlay and the underlying IP network, resu...
Piotr Karwaczynski, Jaka Mocnik