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Research and Implementation of Abnormal Product Identification Model Based on Stability

DOI: 10.12677/HJDM.2023.133025, PP. 244-253

Keywords: 异常商品,数据挖掘,稳定度,数学建模,Abnormal Product, Datamining, Stability, Mathematical Modeling

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With the development of the economy, online shopping has gained widespread popularity in all aspects. Due to its advantages such as convenience, speed, time and effort saving, and door-to-door delivery, it is increasingly favored by people and has become an indispensable part of daily life. With the improvement of people’s economic ability and consumption level, the demand for online shopping experience is also increasing. At the same time, competition among major online retail businesses has become increasingly fierce. In order to attract consumers’ attention and increase product sales, some businesses have started to use “speculation” and “order” methods such as selling, positive reviews, and negative reviews to maliciously promote products, infringing on consumers’ rights and interests. To protect consumers’ right to know and choose, this project uses a dataset provided by Inspur Zhuosu Company to analyze the reasons for abnormal products through a com-bination of quantitative and qualitative data mining analysis. Mathematical modeling and machine learning methods are used to define some abnormal product indicators, and these indicators are used to construct a model for finding and predicting abnormal products. The experimental results indicate that the model has good performance and certain practicality.


[1]  李士琪. 网络消费者权益保护的政府监管研究——以上海市静安区大宁路街道为例[D]: [硕士学位论文]. 上海: 华东政法大学, 2022.
[2]  卢小宾, 朱庆华, 查先进, 朝乐门. 信息分析导论[M]. 武汉: 武汉大学出版社.
[3]  刘宝锺. 大数据分类模型和算法研究[M]. 云南大学出版社.
[4]  谢昌锟, 赵明琪, 林世明. 基于体检大数据的健康指数建模[J]. 数据挖掘, 2021, 11(1): 1-10.
[5]  Zhao, M., Song, C., Luo, T., Huang, T. and Lin, S. (2021) Fatty Liver Disease Prediction Model Based on Big Data of Elec-tronic Physical Examination Records. Frontiers in Public Health, 9, Article 668351.
[6]  贝振东. 大数据分析引擎性能自动优化关键技术研究[D]: [博士学位论文]. 北京: 中国科学院大学(中国科学院深圳先进技术研究院), 2017.
[7]  王琅. 基于数据挖掘的电商平台促销选品研究[D]: [硕士学位论文]. 南京: 南京大学, 2020.
[8]  楼迎军. 我国期货价格行为与市场稳定机制研究——以大宗农产品期货为例[D]: [博士学位论文]. 杭州: 浙江大学, 2005.
[9]  孙纪舟. 数据微观不一致性问题的研究[D]: [博士学位论文]. 哈尔滨: 哈尔滨工业大学, 2020.
[10]  陈雄兵. 基于支持向量机和卷积神经网络的匹配交易研究[D]: [博士学位论文]. 武汉: 武汉大学, 2019.
[11]  祝文祥. B2C电子商务中数据挖掘技术的研究与应用[D]: [硕士学位论文]. 合肥: 中国科学技术大学, 2011.
[12]  李喆. 基于函数收敛和模糊聚类的评论质量检测方法的研究[D]: [硕士学位论文]. 哈尔滨: 哈尔滨理工大学, 2021.
[13]  《中国信用》杂志编辑部电子商务领域信用建设研究课题组. “双十一”网购综合信用评价报告[J]. 中国信用, 2020(1): 16-33.
[14]  Teng, Y., Ren, H., Zhu, J., Jiang, C., Ye, X. and Zeng, H. (2023) A Practical Method for Angular Normalization on Land Surface Temperature Using Space between Thermal Radiance and Fraction of Vegetation Cover. Remote Sensing of Environment, 291, Article ID: 113558.
[15]  Wang, B., Liu, H., Han, X., et al. (2021) Image-Based Ransomware Classification with Classifier Combination. Proceedings of 2021 3rd International Conference on Advanced Information Science and System (AISS 2021), Sanya, 26-28 November 2021, 1-6.
[16]  Shin, Y., Mohanty, B.P., Kim, J. and Lee, T. (2023) Multi-Model Based Soil Moisture Simulation Approach under Contrasting Weather Conditions. Journal of Hydrology, 617, Article ID: 129112.


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