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» Using Data Mining to Estimate Missing Sensor Data
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KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 6 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
DATAMINE
2006
127views more  DATAMINE 2006»
15 years 6 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
SDM
2010
SIAM
115views Data Mining» more  SDM 2010»
15 years 7 months ago
Reconstructing Randomized Social Networks
In social networks, nodes correspond to entities and edges to links between them. In most of the cases, nodes are also associated with a set of features. Noise, missing values or ...
Niko Vuokko, Evimaria Terzi
COMSWARE
2008
IEEE
16 years 19 days ago
Tracking target using sensor networks: target detection and route activation under energy constraints
—In this paper we consider tracking a target moving in a 2D plane using a network of sensors, each of which is capable of detecting presence of the target in its vicinity and com...
Vaishali P. Sadaphal, Bijendra N. Jain
SIGMOD
2003
ACM
127views Database» more  SIGMOD 2003»
16 years 6 months ago
Cache-and-Query for Wide Area Sensor Databases
Webcams, microphones, pressure gauges and other sensors provide exciting new opportunities for querying and monitoring the physical world. In this paper we focus on querying wide ...
Amol Deshpande, Suman Kumar Nath, Phillip B. Gibbo...