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Forest fire pattern extraction and rule generation using sliding window technique


Ku-Mahamud, Ku Ruhana and Khor, Jia Yun (2009) Forest fire pattern extraction and rule generation using sliding window technique. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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Abstract

The sliding window technique is being used to extract patterns of forest fire which consists of burnt area size, temperature, relative humidity, wind speed and rainfall.The initial data is being transformed by changing the continuous values of the attributes into categorical value. Extracted patterns are then being grouped based on the size of burnt are.Rules are then generated by transforming the categorical values into intervals and the merging different records into the same rules.The rule generation stage produces eight distinct patterns of meteorological conditions that could predict the size of forest fire.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: Pattern Extraction, Sliding Window, Forest Fire
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 02 Apr 2015 02:54
Last Modified: 02 Apr 2015 02:54
URI: http://repo.uum.edu.my/id/eprint/13537

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