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» On sensor selection in linked information networks
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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
MOBISYS
2007
ACM
15 years 10 months ago
A time-and-value centric provenance model and architecture for medical event streams
Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, a...
Min Wang, Marion Blount, John Davis, Archan Misra,...
KAIS
2011
129views more  KAIS 2011»
14 years 5 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
MOBISYS
2007
ACM
15 years 10 months ago
MobiSteer: using steerable beam directional antenna for vehicular network access
In this work, we investigate the use of directional antennas and beam steering techniques to improve performance of 802.11 links in the context of communication between a moving v...
Vishnu Navda, Anand Prabhu Subramanian, Kannan Dha...
INFOCOM
2007
IEEE
15 years 4 months ago
Multicast Scheduling in Cellular Data Networks
— Multicast is an efficient means of transmitting the same content to multiple receivers while minimizing network resource usage. Applications that can benefit from multicast s...
Hyungsuk Won, Han Cai, Do Young Eun, Katherine Guo...