ASSESSMENT AMONG TWO DATA MINING ALGORITHMS CART AND CHAID IN FORECAST AIR TEMPERATURE OF THE SYNOPTIC STATION OF ARAK

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PANAHI MEHDI; MIRHASHEMI SEYYED HASSAN

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Journal: Environmental Sciences Year:2016 | Volume:13 | Issue:4 Page(s): 53-58

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Information Journal Paper

Title

ASSESSMENT AMONG TWO DATA MINING ALGORITHMS CART AND CHAID IN FORECAST AIR TEMPERATURE OF THE SYNOPTIC STATION OF ARAK

Author(s)

PANAHI MEHDI | MIRHASHEMI SEYYED HASSAN | Issue Writer Certificate

Keywords

ASSESSMENTQ1

TREE MODELQ2

CARTQ2

CHAIDQ2

AVERAGE TEMPERATURE MONTHSQ2

SYNOPTIC STATION OF ARAKQ2

Abstract

Due to recent droughts and global warming, in the modeling and prediction of climatic parameters it seems inevitable that the approach of using data mining algorithms to predict climatic elements has been widely used. Therefore, in this study the use of the CARD and CHAID data mining algorithms to predict the air temperature at Arak synoptic stations was evaluated. The data provided are the average monthly data from the Arak weather station, including: “sunshine hours”, “dew point”, “relative humidity”, “average wind speed” and “saturation vapor pressure deficit” over a forty-six-year period from 1960 to 2005. The output variable used was “average temperature months later” on a monthly basis. After introducing the weather data as a monthly mean to the algorithm as an input variable of air temperature months later. Then to the CART and CHAID algorithms were evaluated using correlation coefficient (R2) and mean absolute error (MAE). According to the two statistical indices, the CHIAD TREE MODEL has a better function by R2=0.915 and MAE=2.77 in forecasting the monthly average temperature for the months later.

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APA: Copy

PANAHI, MEHDI, & MIRHASHEMI, SEYYED HASSAN. (2016). ASSESSMENT AMONG TWO DATA MINING ALGORITHMS CART AND CHAID IN FORECAST AIR TEMPERATURE OF THE SYNOPTIC STATION OF ARAK. ENVIRONMENTAL SCIENCES, 13(4 ), 53-58. SID. https://sid.ir/paper/117415/en

Vancouver: Copy

PANAHI MEHDI, MIRHASHEMI SEYYED HASSAN. ASSESSMENT AMONG TWO DATA MINING ALGORITHMS CART AND CHAID IN FORECAST AIR TEMPERATURE OF THE SYNOPTIC STATION OF ARAK. ENVIRONMENTAL SCIENCES[Internet]. 2016;13(4 ):53-58. Available from: https://sid.ir/paper/117415/en

IEEE: Copy

MEHDI PANAHI, and SEYYED HASSAN MIRHASHEMI, “ASSESSMENT AMONG TWO DATA MINING ALGORITHMS CART AND CHAID IN FORECAST AIR TEMPERATURE OF THE SYNOPTIC STATION OF ARAK,” ENVIRONMENTAL SCIENCES, vol. 13, no. 4 , pp. 53–58, 2016, [Online]. Available: https://sid.ir/paper/117415/en

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