Investigating the factors that affect the time of maximum rejection rate of e-waste using survival analysis.
Konstantinos PetridisNikolaos PetridisEmmanouil StiakakisPrasanta Kumar DeyPublished in: Comput. Ind. Eng. (2017)
Keyphrases
- factors that affect
- survival analysis
- rejection rate
- recognition rate
- regression model
- breast cancer
- error rate
- correct recognition rate
- data mining methods
- predictive modeling
- machine learning
- logistic regression
- evolutionary computing
- classification accuracy
- data mining
- data mining techniques
- kaplan meier
- optical character recognition
- risk assessment
- knowledge discovery
- evolutionary algorithm
- feature space