TY - GEN
T1 - What make democracy possible
T2 - A predictive modeling approach
AU - El Din, Ghada Sharaf
AU - Lee, Carl
AU - Fattah, Moataz
PY - 2009
Y1 - 2009
N2 - Data Mining techniques have been successfully applied to many disciplines, especially in business intelligence, medical and health related problems. This paper presents a case study using data mining predictive modeling techniques for identifying important factors associated with the making of democracy. Democracy has been a paradoxical phenomenon; it has appeared in countries that defy the theoretically proposed prerequisites such as high level of economic development, low level of illiteracy, and strong middle class among others. While other countries that have these prerequisites barely witnessed successful democratic transitions. This discrepancy between theory and empirical observation calls for an investigation of factors beyond social & economic factors associated with democratization. A predictive modeling approach will be applied to develop models using political factors, social-economic factors, degree of development, etc. to predict an index derived from the institutional and normative aspects of democracy.
AB - Data Mining techniques have been successfully applied to many disciplines, especially in business intelligence, medical and health related problems. This paper presents a case study using data mining predictive modeling techniques for identifying important factors associated with the making of democracy. Democracy has been a paradoxical phenomenon; it has appeared in countries that defy the theoretically proposed prerequisites such as high level of economic development, low level of illiteracy, and strong middle class among others. While other countries that have these prerequisites barely witnessed successful democratic transitions. This discrepancy between theory and empirical observation calls for an investigation of factors beyond social & economic factors associated with democratization. A predictive modeling approach will be applied to develop models using political factors, social-economic factors, degree of development, etc. to predict an index derived from the institutional and normative aspects of democracy.
UR - http://www.scopus.com/inward/record.url?scp=65749118516&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01203-7_12
DO - 10.1007/978-3-642-01203-7_12
M3 - Conference contribution
AN - SCOPUS:65749118516
SN - 9783642012020
T3 - Studies in Computational Intelligence
SP - 145
EP - 155
BT - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
A2 - Lee, Roger
A2 - Ishii, Naohiro
ER -