SAVDO-SOTIQ MA’LUMOTLARIDAGI ASSOTSIATSIYALARNI TOPISH UCHUN APRIORI ALGORITMINI AMALGA OSHIRISH
Keywords:
Apriori algoritmi, assotsiatsion qoidalar, savdo-sotiq ma’lumotlari, xarid qilish xatti-harakatlari, mahsulot bog‘liqligi, inventarizatsiya boshqaruvi, algoritm samaradorligi, ma’lumotlar tahlili, marketing strategiyalari, xaridor tendensiyalariAbstract
Ushbu maqola savdo-sotiq ma’lumotlaridagi mahsulotlar orasidagi bog'liqlikni aniqlash uchun Apriori algoritmini qo‘llash jarayonini o‘rganadi. Algoritmning asosiy tamoyillari va amaliy qo‘llanilish usullari bayon etiladi. Natijalar savdo strategiyalarini optimallashtirish va mijoz talablarini samarali qondirish imkoniyatlarini taqdim etadi.
References
• Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. Proceedings of the 20th International Conference on Very Large Data Bases (VLDB).
• Han, J., Pei, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques. Elsevier.
• Tan, P.-N., Steinbach, M., & Kumar, V. (2005). Introduction to Data Mining. Pearson Addison Wesley.
• Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.
• Goethals, B., & Zaki, M. J. (2003). Frequent itemset mining implementations. ACM SIGKDD Explorations Newsletter.
• Liu, B., Hsu, W., & Ma, Y. (1998). Integrating classification and association rule mining. Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD).
• Aggarwal, C. C., & Yu, P. S. (2001). A new framework for itemset generation in frequent pattern mining. Journal of Computer and System Sciences.
• Witten, I. H., Frank, E., & Hall, M. A. (2011). Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann.
• Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017).
• Building machines that learn and think like people. Behavioral and Brain Sciences, 40, e253. Schulman, J., Moritz, P., Levine, S., Jordan, M., & Abbeel, P. (2015).
• High-dimensional continuous control using generalized advantage estimation. arXiv preprint arXiv:1506.02438. Lillicrap, T. P., & et al. (2016). Continuous control with deep reinforcement learning. International Conference on Learning Representations.
