An Efficient Mining Approach for Handling Web Access Sequences

  • Nandhini R Department of Computer Science and Engineering, Sri Shakthi College of Engineering and Technology, Coimbatore, Tamil Nadu, India.
  • Evangelin Sonia S.V Department of Computer Science and Engineering, Sri Shakthi College of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Keywords: Genetic Algorithm, Classification and Regression Tree, Hyper Text Transfer Protocol, Internet Protocol, Structured Query Language

Abstract

The World Wide Web (WWW) becomes an important source for collecting, storing, and sharing the information. Based on the users query the traditional web page search approximately retrieves the related link and some of the search engines are Alta, Vista, Google, etc. The process of web mining defines to determine the unknown and useful information from web data. Web mining contains the two approaches such as data-based approach and process-based approach. Now a day the data-based approach is the widely used approach. It is used to extract the knowledge from web data in the form of hyper link, and web log data. In this study, the modern technique is presented for mining web access utility-based tree construction under Modified Genetic Algorithm (MGA). MGA tree are newly created to deploy the tree construction. In the web access sequences tree construction for the most part relies upon internal and external utility values. The performance of the proposed technique provides an efficient Web access sequences for both static and incremental data. Furthermore, this research work is helpful for both forward references and backward references of web access sequences.

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Published
2021-05-30
How to Cite
R, N., & S.V, E. S. (2021). An Efficient Mining Approach for Handling Web Access Sequences. International Journal of Computer Communication and Informatics, 3(1), 15-25. https://doi.org/10.34256/ijcci2112



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