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ICDE
2009
IEEE
223views Database» more  ICDE 2009»
14 years 9 months ago
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Antonios Deligiannakis, Yannis Kotidis, Vasilis Va...
VLDB
2005
ACM
126views Database» more  VLDB 2005»
14 years 1 months ago
Consistently Estimating the Selectivity of Conjuncts of Predicates
Cost-based query optimizers need to estimate the selectivity of conjunctive predicates when comparing alternative query execution plans. To this end, advanced optimizers use multi...
Volker Markl, Nimrod Megiddo, Marcel Kutsch, Tam M...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 8 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
BMCBI
2006
153views more  BMCBI 2006»
13 years 7 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
JCC
2002
127views more  JCC 2002»
13 years 7 months ago
Effective Born radii in the generalized Born approximation: The importance of being perfect
: Generalized Born (GB) models provide, for many applications, an accurate and computationally facile estimate of the electrostatic contribution to aqueous solvation. The GB models...
Alexey Onufriev, David A. Case, Donald Bashford