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» Detecting Changes over Time in a Knowledge Sharing Community
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WWW
2008
ACM
14 years 8 months ago
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social network...
Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, B...
DEXAW
2006
IEEE
153views Database» more  DEXAW 2006»
14 years 1 months ago
Capturing and Using the Operational Semantics of Large Distributed Systems: Sharing Common Application Requirements in Virtual O
Organisations may wish to use a standards-defined distributed system in a global sense but also have a requirement for non-standard local behaviour. This reflects the production...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 2 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 7 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
RAID
2004
Springer
14 years 26 days ago
Seurat: A Pointillist Approach to Anomaly Detection
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...