Study on Library Management System Based on Data Mining and Clustering Algorithm

Authors

  • Jing Wang Yantai Vocational College, Yantai, Shandong, 264000, China
  • Roobaea Alroobaea College of Computers and Information Technology, Taif University, Taif 21974, Saudi Arabia
  • Abdullah M Baqasah College of Computers and Information Technology, Taif University, Taif 21974, Saudi Arabia
  • Anas Althobaiti College of Environment and Technology, Bristol University, Bristol Bs1, United Kingdom
  • Lavish Kansal Lovely Professional University

DOI:

https://doi.org/10.31449/inf.v46i9.3858

Abstract

In order to improve the information retrieval and resource sharing abilities of the library and establish an intelligent library information management system, alibrary management system based on data mining and clustering algorithm is proposed. The system development is divided into two modules: library mining algorithm design and information management system software development. Library data mining design and clustering algorithm of library management system development. System development is divided into two modules: library mining algorithm design and information management system software development. Big data fusion and feature clustering methods is used to design intelligent information retrieval algorithms in library information management to establish library management database. Realizing the development and design of library management system under embedded environment, and finally experimental test analysis is carried out. Results show that the use of the proposed method for library information management can improve the accuracy of book recommendation, which is 16.7% higher than traditional methods on average. It has good data mining, and has good performance indicators in data recall and precision. Therefore, this algorithm is not only a means of automated management of library systems, but also an effective means to realize library information modernization.

Downloads

Published

2023-01-09

How to Cite

Wang, J., Alroobaea, R., Baqasah, A. M., Althobaiti, A., & Kansal, L. (2023). Study on Library Management System Based on Data Mining and Clustering Algorithm. Informatica, 46(9). https://doi.org/10.31449/inf.v46i9.3858

Issue

Vol. 46 No. 9 (2022): Online-only issue

Section

Online-only

License

I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.

I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.

In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.

I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal.  The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.


Copyright ©  Slovenian Society Informatika