TY - GEN
T1 - Applied machine learning
T2 - 6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019
AU - Chang, Yi Ling
AU - Lee, Yuan Yuan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Global achievements in economic growth, poverty reduction and improved welfare have been counterbalanced by an increasing strain on the biosphere in the last decade. With technology improvement, 'big data' will become the dominant scientific paradigm increasing predictive strengthen and visibility. This study focuses on evaluating the relationship among five identified capital resources using unsupervised machine learning clustering analysis to construct pattern recognition then performed forest-based classification and regression with data collected from 32 OECD nations to create a Sustainable Development Progress Index (SDPI). The proposed SDPI ratings provides a clear outlook in ways for countries to balance resource demand and economic development.
AB - Global achievements in economic growth, poverty reduction and improved welfare have been counterbalanced by an increasing strain on the biosphere in the last decade. With technology improvement, 'big data' will become the dominant scientific paradigm increasing predictive strengthen and visibility. This study focuses on evaluating the relationship among five identified capital resources using unsupervised machine learning clustering analysis to construct pattern recognition then performed forest-based classification and regression with data collected from 32 OECD nations to create a Sustainable Development Progress Index (SDPI). The proposed SDPI ratings provides a clear outlook in ways for countries to balance resource demand and economic development.
KW - Clustering analysis
KW - Computational complexity
KW - Principle component analysis (PCA)
KW - Sustainable development
KW - Unsupervised machine learning
UR - https://www.scopus.com/pages/publications/85084767139
U2 - 10.1109/CSCI49370.2019.00237
DO - 10.1109/CSCI49370.2019.00237
M3 - Conference contribution
AN - SCOPUS:85084767139
T3 - Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019
SP - 1263
EP - 1268
BT - Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 December 2019 through 7 December 2019
ER -