@article{3824,
  author = {Ping Yin, Min Li, Qingpeng Li},
  title = {Data Mining Recognition and Promotion under Online Questionnaire Survey},
  journal = {Progress in Machines and Systems},
  year = {2023},
  volume = {12},
  number = {2},
  doi = {https://doi.org/10.6025/pms/2023/12/2/29-37},
  url = {https://www.dline.info/pms/fulltext/v12n2/pmsv12n2_1.pdf},
  abstract = {This article explores the precautions for online questionnaire surveys in the recognition and promotion of information data mining. For example, attention should be paid to the quality and rationality of questionnaire design to avoid overly complex or ambiguous questions. Pay attention to protecting the privacy and personal information of the respondents. We should fully consider the applicability and accuracy of data mining technology to avoid misleading or erroneous conclusions. Summarized the application value and advantages of online questionnaire surveys in information data mining recognition and promotion. The combination of online questionnaire surveys and data mining technology can help enterprises better understand market demand and consumer behavior, develop more accurate and personalized promotion plans, and improve the effectiveness and efficiency of market promotion. At the same time, this application can also help enterprises reduce the cost and risk of market promotion, and improve their competitiveness in the market.},
}