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A Data Envelopment Analysis-Based Approach for Data Preprocessing.
- Source :
-
IEEE Transactions on Knowledge & Data Engineering . Oct2005, Vol. 17 Issue 10, p1379-1388. 10p. - Publication Year :
- 2005
-
Abstract
- In this paper, we show how the data envelopment analysis (DEA) model might be useful to screen training data so a subset of examples that satisfy monotonicity property can be identified. Using real-world health care and software engineering data, managerial monotonicity assumption, and artificial neural network (ANN) as a forecasting model, we illustrate that DEA-based data screening of training data improves forecasting accuracy of an ANN. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10414347
- Volume :
- 17
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Knowledge & Data Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 18239857
- Full Text :
- https://doi.org/10.1109/TKDE.2005.155