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昆明冶金高等专科学校学报 ›› 2024, Vol. 40 ›› Issue (6): 73-.DOI: 10.3969/j.issn.1009-0479.2024.06.012

• 电子信息技术 • 上一篇    

基于哈希值计算的数据爬取策略 

王艳玲   

  1. [昆明冶金高等专科学校外语学院 (东盟国际学院),云南 昆明 650033] 
  • 收稿日期:2024-01-05 出版日期:2024-07-04 发布日期:2025-09-24
  • 作者简介:王艳玲 (1984-),女,新疆沙湾人,讲师,理学学士,主要从事计算机相关问题研究。

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

摘要: 大数据时代,网络数据爆炸式增长。要甄别和使用其中的有效数据,必须利用爬取技术大规模地收集 相关数据,提取不同数据间的关联和趋势,才能简化数据分析成本,帮助用户在海量数据中完成对所需数据的 精确分析、充分理解以及有效应用。基于哈希值计算探究数据爬取策略,从二者的概念及关联性入手,分析利 用哈希值计算强化数据爬取效果的方案,从而提高数据爬取有效性,推动数据爬取技术的正向发展。

关键词: 哈希值, 数据爬取, 大数据 ,

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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