Resumo

MALBERTI RIVEROS, María Alejandra  e  ELIDA BEGUERI, Graciela. Association Rules for university library data. Rev cuba cienc informat [online]. 2015, vol.9, n.4, pp. 30-45. ISSN 2227-1899.

This paper aims at promoting and encouraging the use of library resources and, at the same time, facilitating the library staff tasks when using Data Mining and Association Rules at a university library. This technology has been applied in book circulation data in order to decide the best library material arrangement. As far as the analysis is concerned, two scenarios were presented: “Close Physical Spaces” and “Open Physical Spaces”. The former refers to those bookshelves which can only be accessed by the section staff whereas the latter refers to bookshelves which can be freely accessed by regular book users. To find out the relevant Association Rules, not only support, reliance and lift measures have been considered but also the daily duties that library staff perform regularly to meet their members’ demands. Even though Data Mining has been widely used, its potential has not yet been fully exploited in the library field. Therefore, the present study is also intended to encourage staff to become involved in the application of new technologies so that they can make better use of daily collected data.

Palavras-chave : Data Mining; Association Rules; University Library; Evaluation.

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