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INFOCOM
2007
IEEE
15 years 3 months ago
Shape Segmentation and Applications in Sensor Networks
—Many sensor network protocols in the literature implicitly assume that sensor nodes are deployed uniformly inside a simple geometric region. When the real deployment deviates fr...
Xianjin Zhu, Rik Sarkar, Jie Gao
IMC
2005
ACM
15 years 3 months ago
Optimal Combination of Sampled Network Measurements
IP network traffic is commonly measured at multiple points in order that all traffic passes at least one observation point. The resulting measurements are subsequently joined fo...
Nick G. Duffield, Carsten Lund, Mikkel Thorup
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
INFOCOM
2010
IEEE
14 years 9 months ago
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
With more than 250 million active users, Facebook (FB) is currently one of the most important online social networks. Our goal in this paper is to obtain a representative (unbiased...
Minas Gjoka, Maciej Kurant, Carter T. Butts, Athin...
VLDB
2000
ACM
155views Database» more  VLDB 2000»
15 years 1 months ago
ICICLES: Self-Tuning Samples for Approximate Query Answering
Approximate query answering systems provide very fast alternatives to OLAP systems when applications are tolerant to small errors in query answers. Current sampling-based approach...
Venkatesh Ganti, Mong-Li Lee, Raghu Ramakrishnan