Page 88 - Contributed Paper Session (CPS) - Volume 5

CPS1060 Taik Guan T. et al.
objective as compared to the ROI method. MLT can perform independently,
as well as compliment the ROI model for business decision making, either
helping the telco to expand its broadband investment in new geographic areas
or helping the policymakers to increase the efficiency of broadband policy and
use of universal service funding.
By combining the application of the curve-fitting theory and machine
learning technique, a game theory can be developed. Telco and policymakers
may develop a game theory with a 2-prong approach:
• Work across government agencies to set goals to improve the features
of the rural areas, especially on those features with a high correlation
efficient to the growth of economic or broadband diffusion.
• Use the econometric methodology to measure the effect of public
policies on broadband adoption.

References
1. ITU, “Broadband: A Platform for Progress, a report by the Broadband
Commission for Digital Development,” 2011, p. International
Telecommunications Union.
2. Malaysian Economic Planning Unit, “11th Malaysia Plan,” Prime Minister’s
Department, 2015.
3. S. L. Arlinghaus, PHB Practical Handbook of Curve Fitting. CRC Press, 1994.
4. F. Hu and Q. Hao, Intelligent Sensor Networks: The Integration of Sensor
Networks, Signal Processing and Machine Learning. CRC Press, 2013.
5. D. C. Li and I. H. Wen, “A genetic algorithm-based virtual sample
generation technique to improve small data set learning,”
Neurocomputing, vol. 143, pp. 222–230, 2014.
6. R. Baker and G. Siemens, Educational data mining and learning analytics.
Cambridge University Press, UK, 2014.
7. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector
Machines and Other Kernel-based Learning Methods. Cambridge
University Press, UK, 200

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