Data-Enabled Analytics - International Series in Operations Research & Management Science
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(FIVE YEARS 12)

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Published By Springer International Publishing

9783030751616, 9783030751623

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Network DEA and Big Data with an Application to the Coronavirus Pandemic

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_7 ◽

2021 ◽

pp. 175-197

Author(s):

Hirofumi Fukuyama ◽

William L. Weber

Keyword(s):

Big Data ◽

Network Dea

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Hybrid Data Science and Reinforcement Learning in Data Envelopment Analysis

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_4 ◽

2021 ◽

pp. 93-122

Author(s):

Chia-Yen Lee ◽

Yu-Hsin Hung ◽

Yen-Wen Chen

Keyword(s):

Reinforcement Learning ◽

Data Envelopment Analysis ◽

Data Science ◽

Data Envelopment ◽

Hybrid Data

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Using Network DEA and Grey Prediction Model for Big Data Analysis: An Application in the Global Airline Efficiency

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_12 ◽

2021 ◽

pp. 327-356

Author(s):

Wen-Min Lu ◽

Qian Long Kweh ◽

Mohammad Nourani ◽

Hsiu-Fei Wang

Keyword(s):

Big Data ◽

Data Analysis ◽

Prediction Model ◽

Big Data Analysis ◽

Grey Prediction ◽

Network Dea ◽

Grey Prediction Model

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Aggregation of Outputs and Inputs for DEA Analysis of Hospital Efficiency: Economics, Operations Research and Data Science Perspectives

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_5 ◽

2021 ◽

pp. 123-158

Author(s):

Bao Hoang Nguyen ◽

Valentin Zelenyuk

Keyword(s):

Operations Research ◽

Data Science ◽

Hospital Efficiency ◽

Dea Analysis

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Dominance Network Analysis: Hybridizing Dea and Complex Networks for Data Analytics

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_9 ◽

2021 ◽

pp. 231-262

Author(s):

L. Calzada-Infante ◽

S. Lozano

Keyword(s):

Network Analysis ◽

Complex Networks ◽

Data Analytics

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Measuring Chinese Bank Performance with Undesirable Outputs: A Slack-Based Two-Stage Network DEA Approach

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_11 ◽

2021 ◽

pp. 299-326

Author(s):

Ya Chen ◽

Mengyuan Wang ◽

Jingyu Yang

Keyword(s):

Bank Performance ◽

Undesirable Outputs ◽

Two Stage ◽

Network Dea ◽

Dea Approach

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The Estimation of Productive Efficiency Through Machine Learning Techniques: Efficiency Analysis Trees

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_3 ◽

2021 ◽

pp. 51-92

Author(s):

Juan Aparicio ◽

Miriam Esteve ◽

Jesus J. Rodriguez-Sala ◽

Jose L. Zofio

Keyword(s):

Machine Learning ◽

Efficiency Analysis ◽

Productive Efficiency ◽

Machine Learning Techniques ◽

Learning Techniques

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Value Extracting in Relative Performance Appraisal with Network DEA: An Application to U.S. Equity Mutual Funds

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_10 ◽

2021 ◽

pp. 263-297

Author(s):

Hirofumi Fukuyama ◽

Don U. A. Galagedera

Keyword(s):

Performance Appraisal ◽

Mutual Funds ◽

Relative Performance ◽

Network Dea ◽

Equity Mutual Funds

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Hierarchical Data Envelopment Analysis for Classification of High-Dimensional Data

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_8 ◽

2021 ◽

pp. 199-229

Author(s):

Ming-Miin Yu ◽

Kok Fong See ◽

Bo Hsiao

Keyword(s):

Data Envelopment Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Data Envelopment ◽

Hierarchical Data

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Data Envelopment Analysis and Big Data: A Systematic Literature Review with Bibliometric Analysis

Data-Enabled Analytics - International Series in Operations Research & Management Science ◽

10.1007/978-3-030-75162-3_1 ◽

2021 ◽

pp. 1-29

Author(s):

Vincent Charles ◽

Tatiana Gherman ◽

Joe Zhu

Keyword(s):

Big Data ◽

Data Envelopment Analysis ◽

Literature Review ◽

Bibliometric Analysis ◽

Systematic Literature Review ◽

Data Envelopment

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Data-Enabled Analytics - International Series in Operations Research & Management ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Network DEA and Big Data with an Application to the Coronavirus Pandemic

Hybrid Data Science and Reinforcement Learning in Data Envelopment Analysis

Using Network DEA and Grey Prediction Model for Big Data Analysis: An Application in the Global Airline Efficiency

Aggregation of Outputs and Inputs for DEA Analysis of Hospital Efficiency: Economics, Operations Research and Data Science Perspectives

Dominance Network Analysis: Hybridizing Dea and Complex Networks for Data Analytics

Measuring Chinese Bank Performance with Undesirable Outputs: A Slack-Based Two-Stage Network DEA Approach

The Estimation of Productive Efficiency Through Machine Learning Techniques: Efficiency Analysis Trees

Value Extracting in Relative Performance Appraisal with Network DEA: An Application to U.S. Equity Mutual Funds

Hierarchical Data Envelopment Analysis for Classification of High-Dimensional Data

Data Envelopment Analysis and Big Data: A Systematic Literature Review with Bibliometric Analysis

Data-Enabled Analytics - International Series in Operations Research & Management Science
Latest Publications