Analyzing the Applications of Data Mining in Public Libraries: A Scoping Review

Document Type : مقاله مروری

Authors

1 Ph.D. Candidate, Department of Knowledge and Information Science, Shahid Chamran University, Ahvaz, Iran.

2 Ph.D. Candidate, Department of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

3 Department of Technical Engineering, Non-Profit pooyesh University of Qom, Qom, Iran.

Abstract

The present research with the aim change the mission of public libraries from "book lending institutions" to "social centers" and provide personalized intelligent services to users by applying data mining methods. The current research has been carried out with the aim of identifying the applications of data mining in public libraries with regard to different dimensions, including service analysis, quality analysis, collection analysis and application analysis, as well as determining the functions and techniques of data mining. The search algorithm for this scoping review is designed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart following the steps of the methodological framework of Arksey & O'Malley. Using Endnote, as the information resources management software, 32 duplicate articles and 395 articles as a result of (non)compliance with the purpose or inclusion and exclusion criteria of the research were removed from the total number of 438 studies. Ten main articles in English and two related main articles in Persian were finalized and finally 13 articles have been selected. The application of data mining in public libraries is very wide and can be used as a powerful tool in the fields of management, reference services, organization, storage and retrieval, information, marketing, budget and collection building. In general, the findings of the current research indicate that the subject of data mining applications in providing services and functions of public libraries has received little attention in researches. Data mining of users' data, makes it possible to identify the resources and topics with the highest demand and, as a result, prepare a set of desirable books and resources for delivery to users. Therefore, by recognizing the needs and preferences of users, it is possible to prioritize library information resources and improve the services provided to users, including the borrowing process, fast and effective search system, personalization and customized provision of services, and the entire process of communicating with users. As a result, the necessity of data mining in public libraries is recognized as an important tool for identifying the library's strengths and weaknesses, improving management processes and improving the performance and upgrading of library services consistent with the needs of users, optimizing resources and identifying the needs of diverse users. The current research debuts a point for future researchers to use appropriate data mining functions and techniques for evaluation purposes in public libraries according to their specific needs.

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References

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History

  • Receive Date: 15 October 2023
  • Revise Date: 17 November 2023
  • Accept Date: 22 November 2023
  • First Publish Date: 16 December 2023

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