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ISSRE
2008
IEEE
16 years 22 days ago
Cost Curve Evaluation of Fault Prediction Models
Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consen...
Yue Jiang, Bojan Cukic, Tim Menzies
TKDE
2008
128views more  TKDE 2008»
15 years 6 months ago
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
CHI
2008
ACM
16 years 6 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
16 years 15 days ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
EAAI
2006
98views more  EAAI 2006»
15 years 6 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...