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Data Mining for Municipal Financial Distress Prediction · Study

WorkData Mining for Municipal Financial Distress Prediction

David Alaminos2018

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Workgreen2018

Data Mining for Municipal Financial Distress Prediction

David Alaminos · Sergio M. Fernández · Francisca Miguel García · Manuel Ángel Fernández

15 citations·0/0 files stored·Lecture notes in computer science

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Financial Distress and Bankruptcy Prediction Local Government Finance and Decentralization Data Mining and Machine Learning Applications

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References

2013Understanding the Complex Dynamics of Transparency 2012Linking transparency, knowledge and citizen trust in government: an experiment 2005Developing and Testing a Composite Model to Predict Local Fiscal Distress 2009Accrual Accounting in EU Local Governments: One Method, Several Approaches 2006Data mining method for listed companies’ financial distress prediction 2016Local government transparency index: determinants of municipalities’ rankings 2008Developing a Model to Measure Financial Condition in Local Government 2003The States' Role in U.S. Local Government Fiscal Crises: A Theoretical Model and Results of a National Survey

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2021An appraisal of financial indicators for local government: a structured literature reviewarticle · 6 shared references 2022Budget transparency and financial sustainabilityarticle · 4 shared references 2012Developing a Method to Assessing the Municipal Financial Healtharticle · 3 shared references 2015Drivers for the financial condition of Local Government: a comparative study between Italy and Spainarticle · 3 shared references 2010Overcoming Cost-Inefficiencies within Small Municipalities: Improve Financial Condition or Reduce the Quality of Public Services?article · 3 shared references 2014Do local authorities use NPM delivery forms to overcome problems of fiscal stress?article · 3 shared references

Details

Year2018

Typeother

Published2018-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations15

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/978-3-319-95786-9_23

openalex_workW2811115860

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