Unsupervised neural models for country and political risk analysis
Authors:
- Álvaro HerreroÁHÁlvaro Herrero
- Emilio CorchadoECEmilio Corchado
- Alfredo JiménezAJAlfredo Jiménez
Open Access
- 1 October 2011
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 38 (11) , 13641-13661
Abstract
No abstract availableKeywords
This publication has 39 references indexed in Scilit:
- DIPKIP: A CONNECTIONIST KNOWLEDGE MANAGEMENT SYSTEM TO IDENTIFY KNOWLEDGE DEFICITS IN PRACTICAL CASESComputational Intelligence, 2010
- A weighted voting summarization of SOM ensemblesData Mining and Knowledge Discovery, 2010
- Corruption and market attractiveness influences on different types of FDIStrategic Management Journal, 2008
- The effectiveness of laws against bribery abroadJournal of International Business Studies, 2008
- A multiview approach for intelligent data analysis based on data operatorsInformation Sciences, 2008
- The determinants of foreign direct investment into European transition economiesJournal of Comparative Economics, 2004
- Structuring global responses of local filters using lateral connectionsJournal of Experimental & Theoretical Artificial Intelligence, 2003
- How Taxing is Corruption on International Investors?Review of Economics and Statistics, 2000
- A survey of the quantitative approaches to country risk analysisJournal of Banking & Finance, 1984
- Political Risk: A Review and ReconsiderationJournal of International Business Studies, 1979