A Review for Data Processing in Web Mining Structure by Different Techniques

Authors

  • Ku Nalesh
  • Ghanshyam Sahu
  • Lalit Kumar P Bhaiya

Keywords:

Web Mining, Web Structure Mining, Web Graph, Data Extraction, Data Processing.

Abstract

Now a days world wide web is beyond our imagination because it contains extreme large collections of data Which acts as repository of information. If we talk about web, it is horribly expanding the information in world, it provides the information based on the needs of the user. In this paper, we are discussing about the web structure mining which follows the method in several phases like Data extraction, Data Cleaning, Path completion etc. This review paper basically contains the knowledge and work of Knowledge discovery, Knowledge analysis and data preprocessing. Web data and documents is the goal of the emerging research field of web mining, which seeks to solve this issue. We will provide a quick review of Web mining in this work, focusing in particular on methods   designed to take advantage of the Web's   graph    structure for better   retrieval and   classification   accuracy.

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Published

2023-04-30

How to Cite

Ku Nalesh, Ghanshyam Sahu, & Lalit Kumar P Bhaiya. (2023). A Review for Data Processing in Web Mining Structure by Different Techniques . International Journal of Progressive Research in Science and Engineering, 4(4), 102–105. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/823

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Section

Articles