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Forest fire pattern extraction and rule generation using sliding window technique

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 pattern...

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Main Authors: Ku-Mahamud, Ku Ruhana, Khor, Jia Yun
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/13537/1/PID224.pdf
http://repo.uum.edu.my/13537/
http://www.icoci.cms.net.my
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spelling my.uum.repo.135372015-04-02T02:54:31Z http://repo.uum.edu.my/13537/ Forest fire pattern extraction and rule generation using sliding window technique Ku-Mahamud, Ku Ruhana Khor, Jia Yun QA76 Computer software 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. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/13537/1/PID224.pdf 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. http://www.icoci.cms.net.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ku-Mahamud, Ku Ruhana
Khor, Jia Yun
Forest fire pattern extraction and rule generation using sliding window technique
description 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.
format Conference or Workshop Item
author Ku-Mahamud, Ku Ruhana
Khor, Jia Yun
author_facet Ku-Mahamud, Ku Ruhana
Khor, Jia Yun
author_sort Ku-Mahamud, Ku Ruhana
title Forest fire pattern extraction and rule generation using sliding window technique
title_short Forest fire pattern extraction and rule generation using sliding window technique
title_full Forest fire pattern extraction and rule generation using sliding window technique
title_fullStr Forest fire pattern extraction and rule generation using sliding window technique
title_full_unstemmed Forest fire pattern extraction and rule generation using sliding window technique
title_sort forest fire pattern extraction and rule generation using sliding window technique
publishDate 2009
url http://repo.uum.edu.my/13537/1/PID224.pdf
http://repo.uum.edu.my/13537/
http://www.icoci.cms.net.my
_version_ 1644281212444868608
score 13.145126

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