C4.5: programs for machine learning
C4.5: programs for machine learning
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An index for cross-country analysis of ICT infrastructure and access
Telecommunications Policy
A Critical Analysis of Current Indexes for Digital Divide Measurement
The Information Society
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A multivariate cross-country empirical analysis of the digital divide
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
| Hi-index | 0.00 |
This work proposes Delta score a simplified nominal measurement for digital divide of cities. It is implemented as a concatenation of alphabetical scores that represent presence percentages of Internet, PC, fixed-line telephone and cell telephone in households of cities. Data from the 2010 Mexican Census on Population and Housing are used to create and evaluate this measurement. A proof of concept shows that the proposed measurement facilitates the creation of digital divide rankings and comparisons among cities within one single country. Also, this measurement suggests being useful for rankings and comparisons among cities of two or more countries. Potential incorporation of this score in inferential statistics is also suggested. Novelty and merits of this proposal are, among others: flexibility of the measurement discrete representation, and possibility to be used in inferential statistics; therefore, its usefulness for research purposes, public policy definition and private company planning is encouraging.