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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 1, Pages 161-177, DOI: https://doi.org/10.21307/ijssis-2017-650
License : (CC BY-NC-ND 4.0)
Received Date : 12-November-2013 / Accepted: 03-February-2014 / Published Online: 27-December-2017
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.
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