Research and application of heterogeneous data collection and analysis platform based on behavior simulation
Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China
Proceedings: ICMLCA 2021
Pages: 5Language: englishTyp: PDF
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Authors:
Hao, Zhenliang; Qi, Bolin (Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang, China & University of Chinese Academy of Sciences, Beijing, China)
Chang, ZhiJun (Documentation and Information Center of Chinese Academy of Sciences, Beijing, China)
Li, Xu (Beijing Zhongke Zhihe Digital Technology Co., Ltds, Shenyang, China)
Abstract:
The competition for data resources has become an important part of the current market competition. The main sources of the college entrance examination data currently studied are third-party websites, or manually input data from the official website. Both of these methods have major shortcomings. First of all, in terms of accuracy and limitation, there is no guarantee that the data is accurate. Secondly, in the process of using data, it will be clamped by a third party, so we use behavior simulation technology to collect data from the official website, and then resolve the data by solving the heterogeneity problem. Finally, the completeness and accuracy of the college entrance examination data can be guaranteed through this system platform.