Seismic vulnerability assessment of urban environments in moderate-to-low seismic hazard regions using association rule learning and support vector machine methods

Title
Seismic vulnerability assessment of urban environments in moderate-to-low seismic hazard regions using association rule learning and support vector machine methods
Authors
Keywords
Seismic vulnerability, Moderate hazard, Existing building, Data mining, Support vector machine, Europe
Journal
NATURAL HAZARDS
Volume 76, Issue 2, Pages 1111-1141
Publisher
Springer Nature
Online
2014-12-01
DOI
10.1007/s11069-014-1538-0

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started