Prediction of financial distress: An empirical study of listed Chinese companies using data mining

European Journal of Operational Research ◽

10.1016/j.ejor.2014.08.016 ◽

2015 ◽

Vol 241 (1) ◽

pp. 236-247 ◽

Author(s):

Ruibin Geng ◽

Indranil Bose ◽

Xi Chen

Keyword(s):

Data Mining ◽

Empirical Study ◽

Financial Distress ◽

Chinese Companies ◽

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Prediction of Financial Distress for Electricity Sectors Using Data Mining

Recent Trends in Information and Communication Technology - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-319-59427-9_1 ◽

2017 ◽

pp. 3-11

Author(s):

Maryam Mirzaei ◽

Seyed Mehrshad Parvin Hosseini ◽

Goh Guan Gan ◽

Pritish Kumar Sahu

Keyword(s):

Data Mining ◽

Financial Distress ◽

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Prediction of Financial Distress: Analyzing the Industry Performance in Stock Exchange Market using Data Mining

2019 16th International Conference on Service Systems and Service Management (ICSSSM) ◽

10.1109/icsssm.2019.8887824 ◽

2019 ◽

Author(s):

Harjani Rezkya Putri ◽

Arian Dhini

Keyword(s):

Data Mining ◽

Financial Distress ◽

Stock Exchange ◽

Exchange Market ◽

Industry Performance ◽

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A Empirical study on Disease Diagnosis using Data Mining Techniques

2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) ◽

10.1109/icicct.2018.8473185 ◽

2018 ◽

Author(s):

M. Deepika ◽

K. Kalaiselvi

Keyword(s):

Data Mining ◽

Empirical Study ◽

Disease Diagnosis ◽

Data Mining Techniques ◽

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Development of Prediction Model of Financial Distress and Improvement of Prediction Performance Using Data Mining Techniques

Information Systems Review ◽

10.14329/isr.2016.18.2.173 ◽

2016 ◽

Vol 18 (2) ◽

pp. 173-198

Author(s):

Raynghyung Kim ◽

◽

Donghee Yoo ◽

Gunwoo Kim

Keyword(s):

Data Mining ◽

Prediction Model ◽

Financial Distress ◽

Prediction Performance ◽

Data Mining Techniques ◽

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Prediction of Financial Distress in Bangladesh’s Banking Sector Using Data Mining and Machine-Learning Technique

Proceedings of International Joint Conference on Computational Intelligence - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-3607-6_12 ◽

2020 ◽

pp. 151-162

Author(s):

Mohammed Mahmudur Rahman ◽

Zinnia Sultana ◽

Musrat Jahan ◽

Ramis Fariha

Keyword(s):

Machine Learning ◽

Data Mining ◽

Financial Distress ◽

Banking Sector ◽

Machine Learning Technique ◽

Learning Technique ◽

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Heuristic extraction of fuzzy classification rules using data mining techniques: an empirical study on benchmark data sets

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) ◽

10.1109/fuzzy.2004.1375709 ◽

2005 ◽

Author(s):

H. Ishibuchi ◽

T. Yamamoto

Keyword(s):

Data Mining ◽

Empirical Study ◽

Fuzzy Classification ◽

Data Sets ◽

Classification Rules ◽

Data Mining Techniques ◽

Benchmark Data ◽

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Dynamic Prediction Model for Financial Distress in Construction Industry Using Data Mining

10.22260/isarc2004/0031 ◽

2004 ◽

Author(s):

S. Ping Ho ◽

Fang Ying Lin

Keyword(s):

Data Mining ◽

Prediction Model ◽

Construction Industry ◽

Financial Distress ◽

Dynamic Prediction ◽

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The Pattern Analysis of Financial Distress for Non-audited Firms using Data Mining

Journal of Intelligence and Information Systems ◽

10.13088/jiis.2015.21.4.111 ◽

2015 ◽

Vol 21 (4) ◽

pp. 111-131

Author(s):

Su Hyun Lee ◽

Jung Min Park ◽

Hyoung Yong Lee

Keyword(s):

Data Mining ◽

Financial Distress ◽

Pattern Analysis ◽

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An Empirical Study on Credit Scoring Model for Credit Card by Using Data Mining Technology

2011 Seventh International Conference on Computational Intelligence and Security ◽

10.1109/cis.2011.283 ◽

2011 ◽

Author(s):

Wei Li ◽

Jibiao Liao

Keyword(s):

Data Mining ◽

Empirical Study ◽

Credit Card ◽

Credit Scoring ◽

Mining Technology ◽

Scoring Model ◽

Credit Scoring Model

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A user behavior-based ticket sales prediction using data mining tools: An empirical study in an OTA company

2014 11th International Conference on Service Systems and Service Management (ICSSSM) ◽

10.1109/icsssm.2014.6874135 ◽

2014 ◽

Author(s):

Hui Yuan ◽

Wei Xu ◽

Chengfu Yang

Keyword(s):

Data Mining ◽

Empirical Study ◽

User Behavior ◽

Ticket Sales ◽

Sales Prediction ◽

Behavior Based ◽

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