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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 2 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
116
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MOBIHOC
2009
ACM
16 years 2 months ago
Delay and effective throughput of wireless scheduling in heavy traffic regimes: vacation model for complexity
Distributed scheduling algorithms for wireless ad hoc networks have received substantial attention over the last decade. The complexity levels of these algorithms span a wide spec...
Yung Yi, Junshan Zhang, Mung Chiang
MOBIHOC
2009
ACM
16 years 2 months ago
Predict and relay: an efficient routing in disruption-tolerant networks
Routing is one of the most challenging open problems in disruption-tolerant networks (DTNs) because of the shortlived wireless connectivity environment. To deal with this issue, r...
Quan Yuan, Ionut Cardei, Jie Wu
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
16 years 2 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 2 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...