Improved Data Mining Method for Class-Imbalanced Financial Distress Prediction

Mapping Intimacies ◽

10.1145/3467707.3467754 ◽

2021 ◽

Author(s):

Tingting Ren ◽

Tongyu Lu ◽

Yuanyuan Yang

Keyword(s):

Data Mining ◽

Financial Distress ◽

Mining Method ◽

Data Mining Method ◽

Financial Distress Prediction ◽

Distress Prediction

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Data mining method for listed companies’ financial distress prediction

Knowledge-Based Systems ◽

10.1016/j.knosys.2006.11.003 ◽

2008 ◽

Vol 21 (1) ◽

pp. 1-5 ◽

Author(s):

Jie Sun ◽

Hui Li

Keyword(s):

Data Mining ◽

Financial Distress ◽

Listed Companies ◽

Mining Method ◽

Data Mining Method ◽

Financial Distress Prediction ◽

Distress Prediction

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Corrigendum “Using neural networks and data mining techniques for the financial distress prediction model” [Experts Systems with Applications 36 (2P2) (2009) (4075–4086)]

Expert Systems with Applications ◽

10.1016/j.eswa.2008.12.061 ◽

2009 ◽

Vol 36 (6) ◽

pp. 10204

Author(s):

Wei-Sen Chen ◽

Yin-Kuan Du

Keyword(s):

Data Mining ◽

Neural Networks ◽

Prediction Model ◽

Financial Distress ◽

Data Mining Techniques ◽

Financial Distress Prediction ◽

Distress Prediction

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Data Mining for Municipal Financial Distress Prediction

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95786-9_23 ◽

2018 ◽

pp. 296-308 ◽

Author(s):

David Alaminos ◽

Sergio M. Fernández ◽

Francisca García ◽

Manuel A. Fernández

Keyword(s):

Data Mining ◽

Financial Distress ◽

Financial Distress Prediction ◽

Distress Prediction

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The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches

Knowledge-Based Systems ◽

10.1016/j.knosys.2015.04.017 ◽

2015 ◽

Vol 85 ◽

pp. 52-61 ◽

Author(s):

Ligang Zhou ◽

Dong Lu ◽

Hamido Fujita

Keyword(s):

Data Mining ◽

Financial Distress ◽

Domain Knowledge ◽

Prediction Models ◽

Features Selection ◽

Financial Distress Prediction ◽

Distress Prediction

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Using neural networks and data mining techniques for the financial distress prediction model

Expert Systems with Applications ◽

10.1016/j.eswa.2008.03.020 ◽

2009 ◽

Vol 36 (2) ◽

pp. 4075-4086 ◽

Author(s):

Wei-Sen Chen ◽

Yin-Kuan Du

Keyword(s):

Data Mining ◽

Neural Networks ◽

Prediction Model ◽

Financial Distress ◽

Data Mining Techniques ◽

Financial Distress Prediction ◽

Distress Prediction

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Notice of Retraction: An empirical analysis of the financial distress prediction based on data mining

2010 2nd International Conference on Computer Engineering and Technology ◽

10.1109/iccet.2010.5485282 ◽

2010 ◽

Author(s):

Luzhuang Wang ◽

Hong Zhou ◽

Jingyi Wang

Keyword(s):

Data Mining ◽

Empirical Analysis ◽

Financial Distress ◽

Financial Distress Prediction ◽

Distress Prediction

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Financial Distress Prediction of Iranian Companies Using Data Mining Techniques

Organizacija ◽

10.2478/orga-2013-0003 ◽

2013 ◽

Vol 46 (1) ◽

Author(s):

Mahdi Moradi ◽

Mahdi Salehi ◽

Mohammad Ebrahim Ghorgani ◽

Hadi Sadoghi Yazdi

Keyword(s):

Data Mining ◽

Financial Distress ◽

Data Mining Techniques ◽

Financial Distress Prediction ◽

Distress Prediction ◽

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A Study on Detection of Small Size Malicious Code using Data Mining Method

Jouranl of Information and Security ◽

10.33778/kcsa.2019.19.1.011 ◽

2019 ◽

Vol 19 (1) ◽

pp. 11-17

Author(s):

Taek-Hyun Lee ◽

◽

Ho Kook Kwang

Keyword(s):

Data Mining ◽

Malicious Code ◽

Mining Method ◽

Data Mining Method ◽

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Review for "Identification of faulted line section in microgrids using data mining method based on feature discretisation"

10.1002/2050-7038.12353/v1/review3 ◽

2019 ◽

Author(s):

ozan akdag

Keyword(s):

Data Mining ◽

Mining Method ◽

Data Mining Method ◽

Line Section ◽

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Financial Distress Prediction Model with the Incorporation of Soft Information

SSRN Electronic Journal ◽

10.2139/ssrn.1663784 ◽

2010 ◽

Author(s):

Yang-Cheng Lu ◽

Yu-Chen Wei

Keyword(s):

Prediction Model ◽

Financial Distress ◽

Soft Information ◽

Financial Distress Prediction ◽

Distress Prediction

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