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Journal of Artificial Intelligence and Data Mining، جلد ۹، شماره ۳، صفحات ۳۴۱-۳۴۹
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عنوان انگلیسی Investigating Changes in Household Consumable Market Using Data Mining Techniques
چکیده انگلیسی مقاله For an economic review of food prices in May 2019 to determine the trend of rising or decreasing prices compared to previous periods, we considered the price of food items at that time. The types of items consumed during specific periods in urban areas and the whole country are selected for our statistical analysis. Among the various methods of modelling and statistical prediction, and in a new approach, we modeled the data using data mining techniques consisting of decision tree methods, associative rules, and Bayesian law. Then, prediction, validation, and standardization of the accuracy of the validation are performed on them. Results of data validation in the urban and national area and the results of the standardization of the accuracy of validation in the urban and national area are presented with the desired accuracy.
کلیدواژه‌های انگلیسی مقاله data mining, Bayesian Rule, decision tree, Associative Rule, Households’ Consumer Goods
نویسندگان مقاله A. Hasan-Zadeh |
Fouman Faculty of Engineering, College of Engineering, University of Tehran, Fouman, Iran.

F. Asadi |
Fouman Faculty of Engineering, College of Engineering, University of Tehran, Fouman, Iran.

N. Garbazkar |
Fouman Faculty of Engineering, College of Engineering, University of Tehran, Fouman, Iran.

نشانی اینترنتی http://jad.shahroodut.ac.ir/article_2109_72a2a4abec8bd37df0ba92c94f8b4901.pdf
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