Resumen

FERNANDEZ-MORALES, Mynor  y  BONILLA-CARRION, Roger. Bibliomining, Data, and the Decision Making Process. Rev. Interam. Bibliot [online]. 2020, vol.43, n.2, e4. ISSN 0120-0976.  https://doi.org/10.17533/udea.rib.v43n2ei8.

This article deals with data libraries, where bibliomining is applied data mining on large volumes of data available in libraries, as a result of the operation of major transactional systems, such as loans, referrals, acquisitions, among others. Thus, the data library is the process that aims to discover, extract and store relevant information from large databases in libraries, through the use of search programs and identification of patterns and global relationships, trends, deviations and other Indicators that can be extracted through different techniques of data mining. It is important to note that bibliometric analysis requires the participation of interdisciplinary teams formed by system engineers, statisticians and librarians.

Palabras clave : Datamining; bibliomining; decision making; data patterns; trend data; datawarehouse; big data.

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