An association rule mining approach in predicting flood areas

• Main Authors: Mokhairi, Makhtar, Nur Ashikin, Harun, Azwa, Abdul Aziz, Zahrahtul Amani, Zakaria, Engku Fadzli Hasan, Syed Abdullah, Julaily Aida, Jusoh
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.unisza.edu.my/1687/1/FH03-FIK-17-08103.jpg; http://eprints.unisza.edu.my/1687/

This study focuses on the application of Association rules mining for the flood data in Terengganu. Flood is one of the natural disasters that happens every year during the monsoon season and causes damage towards people, infrastructure and the environment. This paper aimed to find the correlation b...