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Algerian Forest Fires Dataset Data Set
Download: Data Folder, Data Set Description

Abstract: The dataset includes 244 instances that regroup a data of two regions of Algeria.

Data Set Characteristics:  

Multivariate

Number of Instances:

244

Area:

Life

Attribute Characteristics:

Real

Number of Attributes:

12

Date Donated

2019-10-22

Associated Tasks:

Classification, Regression

Missing Values?

N/A

Number of Web Hits:

337


Source:

Faroudja ABID,fabid '@' cdta.dz, abidfaroudja '@' gmail.com, Microelectronic & Nanotechnology Division, Center for Development of Advanced Technologies (CDTA).


Data Set Information:

The dataset includes 244 instances that regroup a data of two regions of Algeria,namely the Bejaia region located in the northeast of Algeria and the Sidi Bel-abbes region located in the northwest of Algeria.

122 instances for each region.

The period from June 2012 to September 2012.
The dataset includes 11 attribues and 1 output attribue (class)
The 244 instances have been classified into ‘fire’ (138 classes) and ‘not fire’ (106 classes) classes.


Attribute Information:

1. Date : (DD/MM/YYYY) Day, month ('june' to 'september'), year (2012)
Weather data observations
2. Temp : temperature noon (temperature max) in Celsius degrees: 22 to 42
3. RH : Relative Humidity in %: 21 to 90
4. Ws :Wind speed in km/h: 6 to 29
5. Rain: total day in mm: 0 to 16.8
FWI Components
6. Fine Fuel Moisture Code (FFMC) index from the FWI system: 28.6 to 92.5
7. Duff Moisture Code (DMC) index from the FWI system: 1.1 to 65.9
8. Drought Code (DC) index from the FWI system: 7 to 220.4
9. Initial Spread Index (ISI) index from the FWI system: 0 to 18.5
10. Buildup Index (BUI) index from the FWI system: 1.1 to 68
11. Fire Weather Index (FWI) Index: 0 to 31.1
12. Classes: two classes, namely “Fire” and “not Fire”


Relevant Papers:

Faroudja ABID et al. , “Predicting Forest Fire in Algeria using Data Mining Techniques: Case Study of the Decision Tree Algorithm”, International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2019) , 08 - 11 July , 2019, Marrakech, Morocco.



Citation Request:

Please, include this citation when using this dataset.
Faroudja ABID et al. , “Predicting Forest Fire in Algeria using Data Mining Techniques: Case Study of the Decision Tree Algorithm”, International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2019) , 08 - 11 July , 2019, Marrakech, Morocco.


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