Data for: Determination of the Effective Emergency Strategy for Scenic Area Emergencies Using the Association Rules Mining
Main Author: | Chen, An |
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Other Authors: | Wu, Bohong, Li, Jimei, Chen, Ning, SHI, Yu, Li, Hui |
Format: | Dataset |
Terbitan: |
Mendeley
, 2019
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/6pc4x652c8 |
ctrlnum |
0.17632-6pc4x652c8.1 |
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fullrecord |
<?xml version="1.0"?>
<dc><creator>Chen, An</creator><title>Data for: Determination of the Effective Emergency Strategy for Scenic Area Emergencies Using the Association Rules Mining</title><publisher>Mendeley</publisher><description>By collecting 36 years of accident investigation reports from 1983 to 2018 from news websites, emergency management department and tourism websites around the world, seventy-five typical emergency cases of scenic areas were screened.The criterion of case collection is directly or indirectly related to the security of scenic areas.The scenic areas involved are located in the United States, the United Kingdom, China, Thailand, Japan, Malaysia, Singapore and various other countries. They include 9 types of accidents: traffic accidents, amusement facilities accidents, cable car accidents, natural disasters, accidents involving collapses and trampling, fire accidents, accidents involving animals attacking humans, drowning accidents and social safety accidents.</description><subject>Data Mining</subject><subject>Emergency Management</subject><subject>Accident Case</subject><contributor>Wu, Bohong</contributor><contributor>Li, Jimei</contributor><contributor>Chen, Ning</contributor><contributor>SHI, Yu</contributor><contributor>Li, Hui</contributor><type>Other:Dataset</type><identifier>10.17632/6pc4x652c8.1</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/6pc4x652c8</relation><date>2019-06-24T11:51:10Z</date><recordID>0.17632-6pc4x652c8.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
Chen, An |
author2 |
Wu, Bohong Li, Jimei Chen, Ning SHI, Yu Li, Hui |
title |
Data for: Determination of the Effective Emergency Strategy for Scenic Area Emergencies Using the Association Rules Mining |
publisher |
Mendeley |
publishDate |
2019 |
topic |
Data Mining Emergency Management Accident Case |
url |
https:/data.mendeley.com/datasets/6pc4x652c8 |
contents |
By collecting 36 years of accident investigation reports from 1983 to 2018 from news websites, emergency management department and tourism websites around the world, seventy-five typical emergency cases of scenic areas were screened.The criterion of case collection is directly or indirectly related to the security of scenic areas.The scenic areas involved are located in the United States, the United Kingdom, China, Thailand, Japan, Malaysia, Singapore and various other countries. They include 9 types of accidents: traffic accidents, amusement facilities accidents, cable car accidents, natural disasters, accidents involving collapses and trampling, fire accidents, accidents involving animals attacking humans, drowning accidents and social safety accidents. |
id |
IOS7969.0.17632-6pc4x652c8.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:23:44Z |
last_indexed |
2020-04-08T08:23:44Z |
recordtype |
dc |
_version_ |
1686587568293937152 |
score |
17.538404 |