<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

An Intelligent Flood Control Decision Support System For Digital Urban Management

Zhejiang Water Conservancy and Hydropower College

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent...

An Intelligent Flood Control Decision Support System For Digital Urban Management

Online veröffentlicht: 01. März 2014

Seitenbereich: 161 - 177

Eingereicht: 12. Nov. 2013

Akzeptiert: 03. Feb. 2014

DOI: https://doi.org/10.21307/ijssis-2017-650

© 2014 Guanlin Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.