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The study provides a comprehensive bibliometric assessment of Data Mining in Digital/Virtual Libraries to depict the importance of Data Mining technology with respect to Digital/Virtual Libraries. Our research work includes 215 studies from the past 23 years that are analyzed on the basis of carefully articulated 10 research questions. The tools used for performing analysis regarding visualization aspects include VoSViewer and Bibliometrix (R studio). The evaluation shows that the year 2017 has the highest number of publications. Our work also represents that the use of Data Mining in Digital/Virtual Libraries has influenced multiple domains, however, it is frequently used in Computer Science. An assessment of the top 20 countries suggests that USA and China are the major contributors in terms of published articles for a time period of 23 years. In the study, we use VoSViewer for co-word analysis to represent the relatedness of documents based on keywords. Our study further explores the research themes and topic dendrogram with respect to Data Mining in Digital/Virtual Libraries by using Bibliometrix (R studio). Our research findings also show that although most research work is published in the English language yet there are few major studies in other languages also. The research provides insight into the above-mentioned aspects of bibliometrics, enabling researchers and scholars to make better decisions regarding their research