Investigating Changes in Household Consumable Market Using Data Mining Techniques | ||
| Journal of AI and Data Mining | ||
| دوره 9، شماره 3، مهر 2021، صفحه 341-349 اصل مقاله (1.53 M) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2021.10024.2139 | ||
| نویسندگان | ||
| A. Hasan-Zadeh* ؛ F. Asadi؛ N. Garbazkar | ||
| Fouman Faculty of Engineering, College of Engineering, University of Tehran, Fouman, Iran. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Data Mining؛ Bayesian Rule؛ Decision Tree؛ Associative Rule؛ Households’ Consumer Goods | ||
| مراجع | ||
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[1] A. R. De Carvalho, R. S. M. Ribeiro, and A. M. Marques, "Economic development and inflation: a theoretical and empirical analysis," International Review of Applied Economics, vol. 32, no. 4, pp. 546-565, 2018. [2] L. Katusiime, "Private Sector Credit and Inflation Volatility," Economics, vol. 6, no. 2, pp. 1-13, 2017. [3] L. Zhao, J. Mbachu, and Z. Liu, "Identifying Significant Cost-Influencing Factors for Sustainable Development in Construction Industry using Structural Equation Modelling," Mathematical Problems in Engineering, vol. 2020, 4810136, 16 pages, 2020. [4] E. W. T. Ngai, L. Xiu, and D. C. K. Chau, "Application of data mining techniques in customer relationship management: A literature review and classification," Expert Systems with Applications, vol. 36, no. 2, pp. 2592-2602, 2009. [5] A. Zarei, M. Maleki, D. Feiz, and M. A. Siahsarani kojuri, "Competitive Intelligence Text Mining: Words Speak," Journal of AI and Data Mining, vol. 16, no. 1, pp. 79-92, 2018.
[6] C. J. Romanowski, and R. Nagi, Analyzing Maintenance Data using Data Mining Methods, Part of the Massive Computing book series (MACO, volume 3): Data Mining for Design and Manufacturing, Kluwer Academic Publishers, pp. 235-254, 2001. [7] B. Grabot, "Rule mining in maintenance: Analyzing large knowledge bases," Computers and Industrial Engineering, vol. 139, 15 pages, 2020. [8] R. Y. Zhong, S. T. Newman, G. O. Huang, and S. Lan, "Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives," Computers and Industrial Engineering, vol. 1021, pp. 572-591, 2016. [9] M. E. Kara, S. Ü. O. Fırat, and A. Ghadge, "A data mining-based framework for supply chain risk management," Computers and Industrial Engineering, vol. 139, 12 pages, 2018. [10] P. Vazan, D. Janikova, P. Tanuska, M. Kebisek, and Z. Cervenanska, "Using data mining methods for manufacturing process control," IFAC-PapersOnLine, vol. 50, no. 1, pp. 6178-6183, 2017. [11] C. Yu, W. Zhang, X. Xu, Y. Ji, and S. Yu, "Data mining based multi-level aggregate service planning for cloud manufacturing," Journal of Intelligent Manufacturing, vol. 29, no. 6, pp. 1351–1361, 2018. [12] Z. Ge, Z. Song, S. X. Ding, and B. Huang, "Data Mining and Analytics in the Process Industry: The Role of Machine Learning," Book: Data-Driven Monitoring, Fault Diagnosis, and Control of Cyber-Physical Systems, IEEE Access, vol. 5, pp. 20590-20616, 2017. [13] B. T. Hazen, J. B. Skipper, C. A. Boone, and R. R. Hill, "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, vol. 270, no. 1-2, pp. 201-211, 2018. [14] R. Ghousi, "Applying a decision support system for accident analysis by using data mining approach: A case study on one of the Iranian manufactures," Journal of Industrial and Systems Engineering, vol. 8, no. 3, pp. 59-76, 2015. [15] S. Shoorabi Sani, "A case study for application of fuzzy inference and data mining in structural health monitoring," Journal of Artificial Intelligence and Data Mining, vol. 6, no. 1, pp. 105-120, 2018. [16] T. Ahmad, and H. Chen, "Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches", Energy and Buildings, vol. 166, no. 1, pp. 460-476, 2018. [17] R. Torkaman, and R. Safabakhsh, "Robust Opponent Modeling in Real-Time Strategy Games using Bayesian Networks," Journal of Artificial Intelligence and Data Mining, vol. 7, no. 1, 149-159, 2019. [18] M. Gul, F. Guneri, F. Yilmaz, and O. Celebi, "Analysis of the relation between the characteristics of workers and occupational accidents using data mining," The Turkish Journal of Occupational/Environmental Medicine and Safety, vol. 1, no. 4, pp. 102-118, 2016. | ||
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