Title of article :
Pattern Extraction and Rule Generation of Forest Fire Using Sliding Window Technique
Author/Authors :
Ku Ruhana Ku-Mahamud، نويسنده , , Khor Jia Yun، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
9
From page :
113
To page :
121
Abstract :
Patterns can be extracted from historical data and used to make predictions of future events. Such predictions are useful to support decision makers in various areas. In this study the sliding window technique is used to reveal forest fire patterns that relate four meteorological conditions (temperature, relative humidity, wind speed and rainfall) with burnt area size. Extracted patterns are then being grouped based on the size of burnt area. Rules are then generated resulting in eight distinct patterns of meteorological conditions that could predict the size of forest fire. Experimental results showed that extracted patterns produced good prediction accuracy
Keywords :
pattern extraction , Sliding window , Forest fire
Journal title :
Computer and Information Science
Serial Year :
2009
Journal title :
Computer and Information Science
Record number :
678392
Link To Document :
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