Abstract：Analysing reader behaviours in self-service library stations using a bibliomining approach Purpose The present study aimsby adopting bibliominingto analyse the borrowing and collection records in self-service libraries at mass rapid transit stations in northern Taiwan to discover reader borrowing preferences and patternsDesignmethodologyapproach The current study used data mining to analyse two years of book-borrowing information from self-service library stationsit made use of an association rule mining model and the bibliomining process to identify readerspreferred books and to explore reader borrowing behavioursIn additionthe librariansperceptions of the proposed approach were also investigatedFindings The findings indicated that readers often borrowed books in the bibliographical classifications of Home economicsMedical sciencesPsychologyCommerceadministration and managementand Education in the self-service library stationsBased on the bibliomining results23 reader borrowing patterns as well as potential books favoured by readers were uncoveredIn additionthe challenges of bibliomining and data mining applied to library operations are reportedOriginalityvalue Among the studies on the application of self-service technologies in librariesmost examined the integration of the self-service system and investigated usersopinionsThe present study used borrowing records and collection records in self-service library stations to conduct bibliomining and to explore reader borrowing preferences and behaviours as references for collection development and book recommendation servicesLibrary AutomationAnalysis of the borrowing record of the self-service library site through data exploration technologyRetrieval and IndexingIt is used as a reference for the development of readers as a reference for the development of collections and book recommendation services through data exploration and exploration of readersThis study uses data exploration methodsBy analyzing the two-year book borrowing datathe exploration model and literature exploration process of association rules are used to identify readerspreferred books and explore their borrowing behavior