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...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2009
|
| 主題: | |
| 在線閱讀: | http://repo.uum.edu.my/13537/1/PID224.pdf http://repo.uum.edu.my/13537/ http://www.icoci.cms.net.my |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | 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. |
|---|