Data Mining for Library Service Improvement by Using an R Tools Technique: A Review

Abstract

Due to the importance of data, different types and sources of data, different types of data and data rates rise daily, which affects changes in society. It is recognized that knowledge management is a vital process in academic libraries due to the importance of academic institutions and the different needs of students and researchers. The success of academic libraries in a competitive and challenging knowledge environment depends on their ability to use information and knowledge to meet the needs of the academic community. The main part of this paper I will analyze recent papers and identify the most used methods for research and data mining in academic libraries. Qualitative research method and case study design were adopted. For academic universities based on previous research related to research and journals, we will use data mining algorithms and deep research algorithms and artificial intelligence. Academic libraries are a vital and important source for students and researchers under any circumstance or changes that the student can through the academic library obtain academic subjects scientific research conferences the library The academy is a scientist for all who are interested in this field and don't forget the important aspect that data mining plays, as it helps in arranging and separating data.