Robust regression and outlier detection
Robust regression and outlier detection
Neural Networks
Symbolic and Neural Learning Algorithms: An Experimental Comparison
Machine Learning
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
Computers and Operations Research - Special issue: Emerging economics
Wood inspection with non-supervised clustering
Machine Vision and Applications
A Neural Clustering Approach to Is0-Resource for Acute Healthcare in Australia
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 6 - Volume 6
The effect of national culture and economic wealth on global software piracy rates
Communications of the ACM - Why CS students need math
Gold Price, Neural Networks and Genetic Algorithm
Computational Economics
International Journal of Intelligent Systems in Accounting and Finance Management
Self-organizing feature maps for the vehicle routing problem with backhauls
Journal of Scheduling
Global software piracy: can economic factors alone explain the trend?
Communications of the ACM - Hacking and innovation
Towards fair ranking of olympics achievements: the case of Sydney 2000
Computers and Operations Research
Forecasting Economic Data with Neural Networks
Computational Economics
To purchase or to pirate software: an empirical study
Journal of Management Information Systems
User modeling for personalized Web search with self-organizing map: Research Articles
Journal of the American Society for Information Science and Technology
User modeling for personalized Web search with self-organizing map: Research Articles
Journal of the American Society for Information Science and Technology
Software Piracy in the Workplace: A Model and Empirical Test
Journal of Management Information Systems
Anomaly detection in mobile communication networks using the self-organizing map
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - VIII Brazilian Symposium on Neural Networks
Detecting spam email by radial basis function networks
International Journal of Knowledge-based and Intelligent Engineering Systems
RAILWAY PASSENGER TRAFFIC VOLUME PREDICTION BASED ON NEURAL NETWORK
Applied Artificial Intelligence
Classification of audio signals using SVM and RBFNN
Expert Systems with Applications: An International Journal
Real time face and mouth recognition using radial basis function neural networks
Expert Systems with Applications: An International Journal
Prediction of athletes performance using neural networks: An application in cricket team selection
Expert Systems with Applications: An International Journal
A novel method for real parameter optimization based on Gene Expression Programming
Applied Soft Computing
Impact of piracy on innovation at software firms and implications for piracy policy
Decision Support Systems
Digital Piracy: A Competitive Analysis
Marketing Science
Expert Systems with Applications: An International Journal
Financial distress prediction by a radial basis function network with logit analysis learning
Computers & Mathematics with Applications
The use of data mining and neural networks for forecasting stock market returns
Expert Systems with Applications: An International Journal
Modelling public transport trips by radial basis function neural networks
Mathematical and Computer Modelling: An International Journal
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A general regression neural network
IEEE Transactions on Neural Networks
Analysis of the convergence properties of topology preserving neural networks
IEEE Transactions on Neural Networks
Hi-index | 12.05 |
Software piracy represents a major damage to the moral fabric associated with the respect of intellectual property. The rate of software piracy appears to be increasing globally, suggesting that additional research that uses new approaches is necessary to evaluate the problem. The study remedies previous econometric and methodological shortcomings by applying Bayesian, robust and evolutionary computation robust regression algorithms to formally test empirical literature on software piracy. To gain further insights into software piracy at the global level, the study also uses five neuro-computational intelligence methodologies: multi-layer perceptron neural network (MLP), probabilistic neural network (PNN), radial basis function neural network (RBF), generalized regression neural network (GRNN) and Kohonen's self-organizing maps (SOM) to classify, predict and cluster software piracy rates among 102 nations. At the empirical level, this research shows that software piracy is significantly affected by the wealth of nation as measured by gross domestic product (GDP), the nation's expenditure on research and development and the nation's judicial efficiency. At the methodological level, this research shows that neuro-computational models outperform traditional statistical techniques such as regression analysis, discriminant analysis and cluster analysis in predicting, classifying and clustering software piracy rates due to their robustness and flexibility of modeling algorithms.