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» MINE: Module Identification in NEtworks
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RECOMB
2006
Springer
14 years 7 months ago
Assessing Significance of Connectivity and Conservation in Protein Interaction Networks
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
CORR
2012
Springer
209views Education» more  CORR 2012»
12 years 2 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 3 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
AICT
2010
IEEE
240views Communications» more  AICT 2010»
12 years 10 months ago
Providing Security in 4G Systems: Unveiling the Challenges
— Several research groups are working on designing new security architectures for 4G networks such as Hokey and Y-Comm. Since designing an efficient security module requires a cl...
Mahdi Aiash, Glenford E. Mapp, Aboubaker Lasebae, ...
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
13 years 11 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu