Unlocking Knowledge through Data Mining: Transforming Library Services with Data-Driven Insights

DOI

10.2991/978-94-6239-614-2_6How to use a DOI?

Keywords

Data Mining; Library Services; Artificial Intelligence; Electronic Resources; Transformative Opportunities; Data Driven

Abstract

In the digital age, libraries are producing previously unheard-of amounts of data from digital repositories, online databases, electronic resources, and user interaction logs. Effectively using this data is now essential for boosting user experience, generating better decisions, and maintaining libraries as centers of innovation. Finding hidden patterns, connections, and useful insights in big datasets is made possible by data mining, an advanced analytical technique. The use of data mining in libraries is examined in this research, with an emphasis on how it improves services, aids in the creation of collections, maximizes resource use, and promotes individualized learning. Emerging trends, advantages, and difficulties of data-driven techniques are highlighted in the paper through a thorough literature survey and conceptual analysis. The paper also critically examines challenges, including data privacy, technological infrastructure, and the digital divide, while offering strategic recommendations for sustainable implementation. By integrating data-driven insights with library practices, the research emphasizes that libraries can move beyond passive service delivery to proactive knowledge facilitation, thus paying a transformative role in the knowledge society. The findings indicate that, while data mining offers transformative opportunities such as predictive analytics, recommendation systems, bibliometric mapping, and user behaviourmodelling, challenges related to privacy, technical expertise, and infrastructure remain significant. The paper concludes by proposing a strategic framework for the integration of data mining in libraries, ensuring that libraries evolve into proactive, data-driven service providers in the 21st century knowledge economy.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruchi Sinha
PY  - 2026
DA  - 2026/03/27
TI  - Unlocking Knowledge through Data Mining: Transforming Library Services with Data-Driven Insights
BT  - Proceedings of the International conference on Marching beyond the Libraries: Talent, Technology, and Transformation (ICMBL 2025)
PB  - Atlantis Press
SP  - 45
EP  - 52
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-614-2_6
DO  - 10.2991/978-94-6239-614-2_6
ID  - Sinha2026
ER  -