Promoting Research Collaboration Based on Data Mining Techniques in Library Information Systems

Promoting Research Collaboration Based on Data Mining Techniques in Library Information Systems
دوره: 
۸
شماره: 
۱
شماره صفحه (از - تا): 
۷۳-۸۲
چکیده

Research  collaboration  connects  distributed  knowledge  and  competencies  into  new  ideas  and research institutes and has been the subject of many research projects.‎ We argue that academic libraries, including libraries of universities and research institutes, hold a wealth of information regarding patrons' research interests hidden in their data bases.‎ Mining these databases can provide better understanding of researchers' needs and interests.‎ This paper has two main contributions.‎ Firstly, it proposes a new methodology based on data mining techniques in library information systems to uncover patrons' research interests in order to facilitate research collaboration including interdisciplinary research.‎ The proposed methodology, studies data mining techniques in a library information system  as  a  case  study  and  makes  advantage of clustering  algorithms  to  cluster researchers based on their library usage which is interpreted as their research interests.‎ The second contribution of this paper is that, it presented a knowledge map as a visual representation of usage trends of an academic library to portray virtual interest groups based on item use information.‎ The result of  this study can support managers and decision makers for strategic decision making regarding future research directions and collaborations.‎ The outcome of the case study confirms our hypotheses by revealing clusters of library users with similar research interests validated by their academic backgrounds.‎

استناد: 

Homayounvala, Elaheh, and Ammar Jalalimanesh.‎ 2012.‎ Promoting Research Collaboration Based on Data Mining Techniques in Library Information Systems.‎ International Journal of Information Technology and Business Management ۸ (۱): ۷۳-۸۲.

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