Abstract
Due to industrialization and urbanization, the social economy develops in an unparalleled speed, while it certainly fosters the consumption of natural resources and the pressure to protect ecological environment. In this study, association rule mining approach was proposed to analyze the effects of socio-economic development and environmental risks on city life-cycle under the consideration of birth, death, and emigration rates. The Weka implementation of Apriori and Tertius algorithms were performed to generate rules and the most interesting rules were listed.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Systems and Decision Making for Risk Analysis and Crisis Response - Proceedings of the 4th International Conference on Risk Analysis and Crisis Response, RACR 2013 |
| Pages | 695-700 |
| Number of pages | 6 |
| Publication status | Published - 2013 |
| Event | 4th International Conference on Risk Analysis and Crisis Response, RACR 2013 - Istanbul, Turkey Duration: 27 Aug 2013 → 29 Aug 2013 |
Publication series
| Name | Intelligent Systems and Decision Making for Risk Analysis and Crisis Response - Proceedings of the 4th International Conference on Risk Analysis and Crisis Response, RACR 2013 |
|---|
Conference
| Conference | 4th International Conference on Risk Analysis and Crisis Response, RACR 2013 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 27/08/13 → 29/08/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 11 Sustainable Cities and Communities
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