A Model for Detecting Cost-Prone Classes Based on Mahalanobis-Taguchi Method

Author:

AMAN H.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Classification method based on Taguchi’s T-method for small sample sizes;Journal of Advanced Mechanical Design, Systems, and Manufacturing;2021

2. Analysis of the Performance of Learners for Change Prediction Using Imbalanced Data;Advances in Intelligent Systems and Computing;2018-09-29

3. Mahalanobis-Taguchi system: state of the art;International Journal of Quality & Reliability Management;2018-03-05

4. An empirical study for software change prediction using imbalanced data;Empirical Software Engineering;2017-01-05

5. Empirical evidence on the link between object-oriented measures and external quality attributes: a systematic literature review;Empirical Software Engineering;2014-03-08

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