Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

Feature-Filtering Data-Mining Algorithm for Urban Waterlogging Path Optimization in Extreme Weather

Authors
Wei Zhong, Youdong Zhang
Corresponding Author
Wei Zhong
Available Online July 2017.
DOI
10.2991/icadme-17.2017.1How to use a DOI?
Keywords
city waterlogging; feature selection; risk aversion; data mining; municipal management
Abstract

Good personnel hedge scheme which can reduce the negative effects of urban waterlogging disaster is one of the effective ways and scientific means to improve the level of urban municipal management. Strong randomicity is the characteristics of stormwater runoff route under city extreme weather , this paper analyzes the characteristics and takes the dull phenomenon of traditional hedging model into account under random emergencies in extreme weather . An urban waterlogging personnel hedge mechanism is proposed based on feature selection data mining route decision making model. The flow path of urban waterlogging region is added into the model. Clustering method is used to optimize the extreme weather urban waterlogging personnel hedge path characteristics. Then the optimal data mining decision support analysis model is constructed and a personnel hedge path of urban waterlogging disaster is concluded.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-349-4
ISSN
2352-5401
DOI
10.2991/icadme-17.2017.1How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wei Zhong
AU  - Youdong Zhang
PY  - 2017/07
DA  - 2017/07
TI  - Feature-Filtering Data-Mining Algorithm for Urban Waterlogging Path Optimization in Extreme Weather
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.1
DO  - 10.2991/icadme-17.2017.1
ID  - Zhong2017/07
ER  -