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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 10 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
13 years 6 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
PERCOM
2007
ACM
14 years 4 months ago
A Scalable Geographic Service Provision Framework for Mobile Ad Hoc Networks
Supporting scalable and efficient routing and service provision in Mobile Ad Hoc Networks (MANET) has been a big research challenge. Conventional topology-based unicast and multic...
Xiaojing Xiang, Xin Wang
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 4 months ago
Scalable discovery of hidden emails from large folders
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
CCGRID
2002
IEEE
13 years 9 months ago
NEVRLATE: Scalable Resource Discovery
A scalable and expressive peer-to-peer (P2P) networking and computing framework requires efficient resource discovery services. Here we propose NEVRLATE, for Network-Efficient V...
Ajay Chander, Steven Dawson, Patrick Lincoln, Davi...