Sciweavers

145 search results - page 8 / 29
» Data Stream Clustering: Challenges and Issues
Sort
View
BMCBI
2011
13 years 2 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
ICDM
2006
IEEE
124views Data Mining» more  ICDM 2006»
14 years 1 months ago
Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering
Technologies that use the Internet network to deliver voice communications have the potential to reduce costs and improve access to communications services around the world. Howev...
Olivier Verscheure, Michail Vlachos, Aris Anagnost...
CORR
2008
Springer
192views Education» more  CORR 2008»
13 years 6 months ago
Anomaly Detection in Streaming Sensor Data
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
Alec Pawling, Ping Yan, Julián Candia, Timo...
INFOCOM
2005
IEEE
14 years 1 months ago
CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming
— This paper presents DONet, a Data-driven Overlay Network for live media streaming. The core operations in DONet are very simple: every node periodically exchanges data availabi...
Xinyan Zhang, Jiangchuan Liu, Bo Li, Tak-Shing Pet...
ADMI
2010
Springer
13 years 9 months ago
Clustering in a Multi-Agent Data Mining Environment
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen