2024 Vol.7 Oct.N05

• Title: Cluster mining and analysis method of IoT data based on python
• Name: Fang Wan
• Company: Business College,Nanchang Jiaotong Institute,NanChang,Jiangxi,330100,China
• Abstract:

   In view of the problem of large amount of data, complex structure of the Internet of Things, and low accuracy of data clustering and mining, the research on data clustering mining and analysis based on Python is carried out. By constructing data acquisition and communication module, realize real-time acquisition of Internet of Things data; adopt data cleaning and standardization pretreatment technology to improve data quality. Subsequently, the clustering algorithm in Python was used to deeply mine the data of the Internet of Things and realize the effective classification and prediction of the data. Finally, through comparative experiments, it is proved that under the application of Python-based cluster mining method, the F-measure value of cluster mining results is significantly improved, which can promote the accuracy of data analysis and provide strong data support for the application of Internet of Things.

  
  

• Keyword: python; data; mining; clustering; Internet of Things;
• DOI: 10.12250/jpciams2024090106
• Citation form: Fang Wan.Cluster mining and analysis method of IoT data based on python[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp. 24-27

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