Regional and Global Dynamics in East Asia: A Data Mining Experience

Data mining (DM) has almost become an essential tool in this digital era. Research into developing novel methodologies to mining the ever-growing data and applying them to analysing a wide range of issues has never been so vigorous. DM applications including that of business intelligence attest remarkable success. This paper elaborates upon such a DM experience on how macro economic digital data from multiple sources could be mined to discover interesting developments in the regional and global dynamics of an emerging East Asian Community (EAC). Following a brief introduction to the former Malaysian Prime Minster Mahathir Mohamed´s initiatives to form an EAC, the World Bank and ASEAN Financial Macroeconomic Surveillance Unit data are analysed to see how the numbers stack up. The application gives an example of how the needs of a modern society, to model regional and global dynamics of nations of interest could be met using DM techniques and digital data.