Data Mining Techniques for Web Mining: A Survey


  • Mehdi Gheisari Department of computer science and Technology, Islamic Azad University, Iran
  • Hooman Hamidpour Department of Computer Engineering and Information Technology, Shiraz University of Technology, Iran
  • Yang Liu Department of Computer science and Technology, Harbin Institute of Technology, China
  • Peyman Saedi Oracle DBA at Behestan Rayan hamrah, Iran
  • Arif Raza School of Computer Science and Software Engineering, Shenzhen University, China
  • Ahmad Jalili Department of Computer Engineering, Faculty of Basic Sciences and Engineering, Gonbad Kavous University, Iran
  • Hamidreza Rokhsati Department of Computer, Control and Management Engineering, Sapienza University of Rome, Italy
  • Rashid Amin Department of Computer Science, University of Chakwal, Pakistan



social networks, web design, data mining, web mining, World Wide Web


The data mining (DM) is the computational process that consists of searching, extracting, and analyzing patterns in large data sets, including methods at the intersection of artificial intelligence, machine learning, statistics, and database schemes. Specifically, its primary goal is to extract information from a raw data set and transform it into an expected structure for further use. Moreover, an evolving perspective of DM is web mining (WM), which refers to the whole of DM and related routines. It is used to discover and extract information from web records and services automatically, that is, WM’s purpose is to obtain valuable data from the World Wide Web. Due to its importance, a survey about DM techniques in WM is necessary, as performed in this paper.


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How to Cite

Gheisari, M., Hamidpour, H. ., Liu, Y. ., Saedi, P., Raza, A., Jalili, A., Rokhsati, H. ., & Amin, R. . (2022). Data Mining Techniques for Web Mining: A Survey. Artificial Intelligence and Applications, 1(1), 3–10.