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Journal of Kunming Metallurgy College ›› 2024, Vol. 40 ›› Issue (6): 73-.DOI: 10.3969/j.issn.1009-0479.2024.06.012

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Study on Data Crawling Strategies Based on Hash Value Calculation#br#

WANG Yanling   

  1. [ Faculty of Foreign Languages ( ASE AN International Faculty), Kunming Metallurgy College, Kunming 650033, China
  • Received:2024-01-05 Online:2024-07-04 Published:2025-09-24

Abstract: We have entered the era of big data, where the volume of online data is exploding. To identi.fy and utilize the elfective data within this vastness. it is necessary to employ crawling techniques to col.lect relevant data on a large scale, extract the associations and trends among different data sets, andthereby simplify the cost of data analysis. This helps users to perform precise analysis, gain a full under.standing, and apply elfectively the required data from the massive data pool. Therefore, this paper willexplore data crawling strategies based on Hash Value calculation, starting from the concepts and correlations between the two, and analyze schemes to enhance the elfectiveness of data crawling through HashValue calculation, thereby improving the validity of data crawling and promoting the positive developmentof data crawling technology.

Key words: Hash Value, data crawling, big data

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