Research on Web Data Mining Based on Topic Crawler

Authors

  • Hongjian Guo Nanjing Audit University, Jiangsu, China

DOI:

https://doi.org/10.13052/jwe1540-9589.20411

Keywords:

Topic network, crawler, data mining, web information search.

Abstract

This paper analyzes the method of Web information data mining based on topic crawler. This paper puts forward the architecture of Web information search and data mining, and introduces the key technology and operation principle of the architecture. After analyzing the functions and shortcomings of ordinary crawler, this paper focuses on the working principle, implementation method and performance analysis of this crawler, as well as the functions of this crawler different from other crawlers and its application in Web information search and data mining system. The experimental results show that the crawler can get all kinds of information resources on the world wide web, which is helpful to the monitoring and management of network cultural content.

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Author Biography

Hongjian Guo, Nanjing Audit University, Jiangsu, China

Hongjian Guo is a college teacher of Nanjing Audit University, CHINA. He attended University of NUAA where he received his B.Sc. in Computer Engineering in 2003. His work centers on Big Data and Data Mining. As a computer audit expert, he has developed many audit information systems to support data process.

References

Yin Xiaogen, Zhang Xiaofang, Zhang Weichao. Study on 3d Reconstruction Method Based on Optical Field Digital Focusing. Photoelectron. Laser, 2015 (26): 991.

Xia Zhengde, Song Na, Liu Bin. Dense Light Field Reconstruction Algorithm Based on Dictionary Learning. Acta Physica Sinica, 2020, V.69 (06): 63–71.

Wang Yizhi, Zhang Xudong, Xiong Wei. Optical Field Camera Vision Measurement Error Analysis. Acta Photonica Sinica, 2017, 046(011): 113–124.

Long C, Li G, Hongxing Y. 3d Dynamic Object Reconstruction Technology Based on Light Field Rendering. Journal of the University of Chinese Academy of Sciences, 2009, 26(6): 781–788.

Yang Fan, Yuan Yan, Zhou Zhiliang. Study on Evaluation Method of Optical Field Camera Imaging Quality. Modern Electronic Technology, 2011, 191(1): 146–156.

Liu Yanlei, Yuan Libo. Multi Directional Fourier Contour Recognition Method for Steep Edge of Objects. 2013, 7:2(2): 729–734.

Tang Yi, Liu Weining, Sun Dihua. Application of Improved Time Series Model in Expressway Short-term Traffic Flow Prediction. Computer Application Research, 2015, 32(1): 146–149.

Wan Ying, Han Yi, Lu Hanqing. Discussion on moving target detection algorithm. Computer Simulation, 2006, 023(010): 221–226.

Liu ya, AI Haizhou, Xu Guangyou. A moving target detection and tracking algorithm based on background model. Information and Control, 2002, 12: 14–19.

Pan Quan, Cheng Yongmei, Du Yajuan. Discrete moment invariant algorithm and its application in target recognition. Acta Sinica Sinica, 2001, 23(001): 30–36.

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Published

2021-07-08

How to Cite

Guo, H. (2021). Research on Web Data Mining Based on Topic Crawler. Journal of Web Engineering, 20(4), 1131–1144. https://doi.org/10.13052/jwe1540-9589.20411

Issue

Section

Articles