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Financial Distress Prediction of Iranian Companies Using Data Mining Techniques Cover

Financial Distress Prediction of Iranian Companies Using Data Mining Techniques

Organizacija
Volume 46 (2013): Issue 1 (January 2013)
By: Mahdi Moradi,  Mahdi Salehi,  Mohammad Ebrahim Ghorgani and  Hadi Sadoghi Yazdi  
Open Access
|Feb 2013

Authors

Mahdi Moradi

Mahdi Salehi

mahdi.salehi@um.ac.ir

Mohammad Ebrahim Ghorgani

Hadi Sadoghi Yazdi

DOI: https://doi.org/10.2478/orga-2013-0003 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
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Language: English
Page range: 20 - 27
Published on: Feb 12, 2013
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
financial distress prediction,
Support vector data description,
Fuzzy c-mean
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance

© 2013 Mahdi Moradi, Mahdi Salehi, Mohammad Ebrahim Ghorgani, Hadi Sadoghi Yazdi, published by University of Maribor
This work is licensed under the Creative Commons License.

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