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The Application of Apriori Algorithm in Predicting Flood Areas

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@article{IJASEIT1463,
   author = {Nur Ashikin Harun and Mokhairi Makhtar and Azwa Abd Aziz and Zahrahtul Amani Zakaria and Fadzli Syed Abdullah and Julaily Aida Jusoh},
   title = {The Application of Apriori Algorithm in Predicting Flood Areas},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {3},
   year = {2017},
   pages = {763--769},
   keywords = {data mining; Apriori algorithm; association rule; flood disaster; knowledge discovery in database.},
   abstract = {The changing of physical characteristics of the hydrological system have caused a lot of natural phenomenon, which leads to flooding as one of the major problems that cause economic damages and affect people’s life. Therefore, the need for a systematic and comprehensive approach to flood area prediction is needed. This research proposed a flood area prediction model with the application of Apriori algorithm towards hydrological data sets. Department of Irrigation and Drainage Malaysia supply the data sets and flood report from year 2009 to 2015 (November until January) which consist of 7 district. The research begins with the data selection, pre-process the data, and data transformation, then the cleaned data will be tested with the Apriori algorithm. The rules will be evaluating using support, confidence and lift value to rank either it is best rules or not. The results show that each district generates best and crucial rules which consist the association of the villages and water level. Thus, hopefully the result can be use in flood management and can give early an early warning to the villagers at flood risk area.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1463},
   doi = {10.18517/ijaseit.7.3.1463}
}

EndNote

%A Harun, Nur Ashikin
%A Makhtar, Mokhairi
%A Abd Aziz, Azwa
%A Zakaria, Zahrahtul Amani
%A Abdullah, Fadzli Syed
%A Jusoh, Julaily Aida
%D 2017
%T The Application of Apriori Algorithm in Predicting Flood Areas
%B 2017
%9 data mining; Apriori algorithm; association rule; flood disaster; knowledge discovery in database.
%! The Application of Apriori Algorithm in Predicting Flood Areas
%K data mining; Apriori algorithm; association rule; flood disaster; knowledge discovery in database.
%X The changing of physical characteristics of the hydrological system have caused a lot of natural phenomenon, which leads to flooding as one of the major problems that cause economic damages and affect people’s life. Therefore, the need for a systematic and comprehensive approach to flood area prediction is needed. This research proposed a flood area prediction model with the application of Apriori algorithm towards hydrological data sets. Department of Irrigation and Drainage Malaysia supply the data sets and flood report from year 2009 to 2015 (November until January) which consist of 7 district. The research begins with the data selection, pre-process the data, and data transformation, then the cleaned data will be tested with the Apriori algorithm. The rules will be evaluating using support, confidence and lift value to rank either it is best rules or not. The results show that each district generates best and crucial rules which consist the association of the villages and water level. Thus, hopefully the result can be use in flood management and can give early an early warning to the villagers at flood risk area.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1463
%R doi:10.18517/ijaseit.7.3.1463
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 3
%@ 2088-5334

IEEE

Nur Ashikin Harun,Mokhairi Makhtar,Azwa Abd Aziz,Zahrahtul Amani Zakaria,Fadzli Syed Abdullah and Julaily Aida Jusoh,"The Application of Apriori Algorithm in Predicting Flood Areas," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 3, pp. 763-769, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.3.1463.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Harun, Nur Ashikin
AU  - Makhtar, Mokhairi
AU  - Abd Aziz, Azwa
AU  - Zakaria, Zahrahtul Amani
AU  - Abdullah, Fadzli Syed
AU  - Jusoh, Julaily Aida
PY  - 2017
TI  - The Application of Apriori Algorithm in Predicting Flood Areas
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 3
Y2  - 2017
SP  - 763
EP  - 769
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - data mining; Apriori algorithm; association rule; flood disaster; knowledge discovery in database.
N2  - The changing of physical characteristics of the hydrological system have caused a lot of natural phenomenon, which leads to flooding as one of the major problems that cause economic damages and affect people’s life. Therefore, the need for a systematic and comprehensive approach to flood area prediction is needed. This research proposed a flood area prediction model with the application of Apriori algorithm towards hydrological data sets. Department of Irrigation and Drainage Malaysia supply the data sets and flood report from year 2009 to 2015 (November until January) which consist of 7 district. The research begins with the data selection, pre-process the data, and data transformation, then the cleaned data will be tested with the Apriori algorithm. The rules will be evaluating using support, confidence and lift value to rank either it is best rules or not. The results show that each district generates best and crucial rules which consist the association of the villages and water level. Thus, hopefully the result can be use in flood management and can give early an early warning to the villagers at flood risk area.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1463
DO  - 10.18517/ijaseit.7.3.1463

RefWorks

RT Journal Article
ID 1463
A1 Harun, Nur Ashikin
A1 Makhtar, Mokhairi
A1 Abd Aziz, Azwa
A1 Zakaria, Zahrahtul Amani
A1 Abdullah, Fadzli Syed
A1 Jusoh, Julaily Aida
T1 The Application of Apriori Algorithm in Predicting Flood Areas
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 3
YR 2017
SP 763
OP 769
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 data mining; Apriori algorithm; association rule; flood disaster; knowledge discovery in database.
AB The changing of physical characteristics of the hydrological system have caused a lot of natural phenomenon, which leads to flooding as one of the major problems that cause economic damages and affect people’s life. Therefore, the need for a systematic and comprehensive approach to flood area prediction is needed. This research proposed a flood area prediction model with the application of Apriori algorithm towards hydrological data sets. Department of Irrigation and Drainage Malaysia supply the data sets and flood report from year 2009 to 2015 (November until January) which consist of 7 district. The research begins with the data selection, pre-process the data, and data transformation, then the cleaned data will be tested with the Apriori algorithm. The rules will be evaluating using support, confidence and lift value to rank either it is best rules or not. The results show that each district generates best and crucial rules which consist the association of the villages and water level. Thus, hopefully the result can be use in flood management and can give early an early warning to the villagers at flood risk area.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1463
DO  - 10.18517/ijaseit.7.3.1463