Association Rule Algorithm Sequential Pattern Discovery using Equivalent Classes (SPADE) to Analyze the Genesis Pattern of Landslides in Indonesia

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title Association Rule Algorithm Sequential Pattern Discovery using Equivalent Classes (SPADE) to Analyze the Genesis Pattern of Landslides in Indonesia
 
Creator Muhajir, Muhammad
Efanna, Berky Rian
 
Subject SPADE; Landslides; Association Rule; Algorithm
 
Description Landslide is one of movement of soil, rock, soil creep, and rock debris that occurred the move of the slopes. It is caused by steep slopes, high rainfall, deforestation, mining activities, and erosion. The impacts of the landslide are loss of property, damage to facilities such as homes and buildings, casualties, psychological trauma, disrupted economic and environmental damage. Based on the impacts of landslide, mitigation required to take early precautions are to know how the pattern of association between the sequence of events landslides and to know how the associative relationship pattern of earthquakes. Based on the impacts, the results of this research is associative relationship pattern is obtained from data flood that occurs in Indonesia, namely in case of heavy rain will occur labile soil structure to support the value of 0.37, confidence level of 41% and the power of formed ruled is 1.02.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2015-11-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/50
10.26555/ijain.v1i3.50
 
Source International Journal of Advances in Intelligent Informatics; Vol 1, No 3 (2015): November 2015; 158-164
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/50/ijain_v1i3_p158_164
 
Rights Copyright (c) 2015 International Journal of Advances in Intelligent Informatics
http://creativecommons.org/licenses/by-sa/4.0
 

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