通过广告和技术的相互作用加强市场购物篮分析

Shivam Tiwari, Prem Prakash, Vaishnavi Dixit
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引用次数: 0

摘要

市场购物篮分析(Market Basket Analysis, MBA)是数据挖掘领域中用于理解消费者购买模式的一项关键技术。广告在MBA课程中的重要性已被广泛认为是影响消费者行为的关键因素。随着科技的出现,MBA正在经历范式转变,新的工具和技术被开发出来,以提高其准确性和效率。本文的研究重点是MBA中使用的各种技术,广告在MBA中的作用,以及技术对MBA改进的影响。本文讨论了MBA中使用的各种算法和数据挖掘技术及其优缺点。此外,本文还分析了广告在MBA中的重要性,广告对消费者行为的影响,以及技术在提升MBA中的作用。论文最后强调了技术在改变MBA领域、提供更准确、更有效的结果并最终改善业务成果方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Market Basket Analysis Through the Interplay of Advertisement and Technology
Market Basket Analysis (MBA) is a crucial technique used in the field of data mining to understand consumer purchasing patterns. The importance of advertisement in an MBA has been widely acknowledged as a key factor in influencing consumer behavior. With the advent of technology, MBA is undergoing a paradigm shift, with new tools and techniques being developed to improve its accuracy and efficiency. This research paper focuses on the various techniques used in MBA, the role of advertisement in MBA, and the impact of technology on the improvement of MBA. The paper discusses the various algorithms and data mining techniques used in MBA and their advantages and disadvantages. Additionally, it analyzes the importance of advertisement in MBA, its impact on consumer behavior, and the role of technology in enhancing MBA. The paper concludes by highlighting the potential of technology in revolutionizing the MBA field, providing more accurate and efficient results, and ultimately improving business outcomes.
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