عنوان انگلیسی مقاله:
Literature Review of Data Mining Applications in Academic Libraries
ترجمه فارسی عنوان مقاله:
بررسی ادبیات نرم افزار داده کاوی در کتابخانه های دانشگاهی
Sciencedirect - Elsevier - The Journal of Academic Librarianship 41 (2015) 499–510
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 categorized according to the main data mining functions: clustering, association, classiﬁcation, and regression; and their application in the four main library aspects: services, quality, collection, and usage behavior. Findings indicate that both collection and usage behavior analyses have received most of the research attention, especially related to collection development and usability of websites and online services respectively. Furthermore, classiﬁcation and regression models are the two most commonly used data mining functions applied in library settings.Additionally, results indicate that the top 6 journals of articles published on the application of data mining techniques in academic libraries are: College and Research Libraries, Journal of Academic Librarianship, Informa- tion Processing and Management, Library Hi Tech, International Journal of Knowledge, Culture and Change Management, and The Electronic Library. Scopus is the multidisciplinary database that provides the best coverage of journal articles identiﬁed. To our knowledge, this study represents the ﬁrst systematic, identiﬁable and comprehensive academic literature review of data mining techniques applied to academic libraries.© 2015 Elsevier Inc. All rights reserved.
Keywords: Data mining | Bibliomining | Literature review | Academic libraries
قیمت: 1000 تومان