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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 6 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
TITB
2010
167views Education» more  TITB 2010»
13 years 3 months ago
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 3 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
IMC
2009
ACM
14 years 3 months ago
Characterizing VLAN-induced sharing in a campus network
Many enterprise, campus, and data-center networks have complex layer-2 virtual LANs (“VLANs”) below the IP layer. The interaction between layer-2 and IP topologies in these VL...
Muhammad Mukarram Bin Tariq, Ahmed Mansy, Nick Fea...
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
14 years 3 months ago
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yo...