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» The Predictability of Data Values
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ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
14 years 3 months ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
CHI
2006
ACM
14 years 10 months ago
Using intelligent task routing and contribution review to help communities build artifacts of lasting value
Many online communities are emerging that, like Wikipedia, bring people together to build community-maintained artifacts of lasting value (CALVs). Motivating people to contribute ...
Dan Cosley, Dan Frankowski, Loren G. Terveen, John...
KES
2005
Springer
14 years 3 months ago
A SVM Regression Based Approach to Filling in Missing Values
In KDD procedure, to fill in missing data typically requires a very large investment of time and energy - often 80% to 90% of a data analysis project is spent in making the data re...
Honghai Feng, Chen Guoshun, Yin Cheng, Bingru Yang...
ICAISC
2004
Springer
14 years 3 months ago
One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets
A task of a stock index prediction is presented in this paper. Several issues are considered. The data is gathered at the concerned stock market (NIKKEI) and two other markets (NAS...
Marcin Jaruszewicz, Jacek Mandziuk
CF
2007
ACM
14 years 1 months ago
Adaptive VP decay: making value predictors leakage-efficient designs for high performance processors
Energy-efficient microprocessor designs are one of the major concerns in both high performance and embedded processor domains. Furthermore, as process technology advances toward d...
Juan M. Cebrian, Juan L. Aragón, José...