Sciweavers

36 search results - page 1 / 8
» Data Farming: Discovering Surprise
Sort
View
WSC
2004
13 years 6 months ago
Data Farming: Discovering Surprise
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Gary E. Horne, Theodore E. Meyer
JDWM
2006
84views more  JDWM 2006»
13 years 5 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas
WSC
2008
13 years 7 months ago
Data Farming around the world overview
Data Farming combines the rapid prototyping capability inherent in certain simulation models with the exploratory power of high performance computing to rapidly generate insight i...
Gary E. Horne, Klaus-Peter Schwierz
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
13 years 11 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
ADBIS
2000
Springer
111views Database» more  ADBIS 2000»
13 years 9 months ago
Discovering Frequent Episodes in Sequences of Complex Events
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
Marek Wojciechowski