An Intelligent Flood Control Decision Support System For Digital Urban Management
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Abstract
Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent flood control decision support system (IFCDSS) using statistical analysis to determine the relationship between the data, and integrate data mining technology for digital urban management based on Java EE. The system also provides location-based decision making in urban management by using the Baidu Maps API.
DOI: https://doi.org/10.21307/ijssis-2017-650 | Journal eISSN: 1178-5608
Language: English
Page range: 161 - 177
Submitted on: Nov 12, 2013
Accepted on: Feb 3, 2014
Published on: Mar 1, 2014
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2014 Guanlin Chen, Xinxin Sun, Shengquan Li, Jiang He, Jiawei Zhang, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.