Literature Review of Data Mining Applications in Academic Libraries

This article provides a comprehensive literature review and classification method for data mining techniques applied to academic libraries. To achieve this, forty-one practical contributions over the period 1998-2014 were identified and reviewed for their direct relevance. Each article was categoriz...

• Hlavní autor: Sigüenza Guzmán, Lorena Catalina (author)
• Další autoři: Ávila Ordóñez, Elina María (author), Saquicela Galarza, Víctor Hugo (author)
• Médium: article
• Vydáno: 2015
• Témata: Academic Libraries; Bibliomining; Data Mining; Literature Review
• On-line přístup: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937163361&doi=10.1016%2fj.acalib.2015.06.007&partnerID=40&md5=b66bc2ab11f619e14adfdbef9ed91fcb; http://dspace.ucuenca.edu.ec/handle/123456789/29072