Performance evaluation of Indian banks using feature selection data envelopment analysis: A machine learning perspective-Reference-Cited by-同舟云学术

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Performance evaluation of Indian banks using feature selection data envelopment analysis: A machine learning perspective

Published:2021-04-17 Issue: Volume: Page:
ISSN:1472-3891
Container-title:Journal of Public Affairs
language:en
Short-container-title:Journal of Public Affairs

Author:

Kumar Anup¹,Shrivastav Santosh Kumar²,Mukherjee Kampan³

Affiliation:

1. Operations and Analytics Institute of Management Technology, Nagpur Nagpur Maharashtra India

2. Business Analytics Institute of Management Technology (IMT) Ghaziabad Ghaziabad Uttar Pradesh India

3. Operations Management & Decision Sciences Indian Institute of Management Kashipur Kashipur Uttarakhand India

Publisher

Wiley

Subject

Political Science and International Relations,Public Administration

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pa.2686

Reference89 articles.

1. Including principal component weights to improve discrimination in data envelopment analysis

2. Review of ranking methods in the data envelopment analysis context

3. Feature Weighting for Lazy Learning Algorithms

4. Review of efficiency ranking methods in data envelopment analysis

5. Islamic bank efficiency compared to conventional banks during the global crisis in the GCC region

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1. Integration of machine learning in the supply chain for decision making: A systematic literature review;Journal of Industrial Engineering and Management;2024-05-14

2. Data driven approach for weight restricted data envelopment analysis models with single output;Journal of Turkish Operations Management;2023-12-29

3. An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data;INFOR: Information Systems and Operational Research;2023-01-23

4. Nations performance evaluation during SARS-CoV-2 outbreak handling via data envelopment analysis and machine learning methods;International Journal of Systems Science: Operations & Logistics;2022-01-07

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