Bibliominería, datos y el proceso de toma de decisiones

Mynor Fernandez Morales; Roger  Bonilla Carrión

doi:10.17533/udea.rib.v43n2eI8

Authors

Mynor Fernandez Morales University of Costa Rica
Roger Bonilla Carrión University of Costa Rica

DOI:

https://doi.org/10.17533/udea.rib.v43n2eI8

Keywords:

Datamining, bibliomining, decision making, data patterns, trend data, datawarehouse, big data

Abstract

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.

|Abstract

= 2033 veces | PDF (ESPAÑOL (ESPAÑA))

= 1025 veces| | HTML (ESPAÑOL (ESPAÑA))

= 0 veces|

Downloads

Download data is not yet available.

Author Biographies

Mynor Fernandez Morales, University of Costa Rica

Master in Business Administration, University of Costa Rica. Bachelor's Degree in Computer Science and Informatics. Research Associate Professor, University of Costa Rica, San José - Costa Rica.

Roger Bonilla Carrión, University of Costa Rica

Master Scientiae in Statistics, Universidad de Costa Rica. Bachelor's Degree in Statistics. Professor of the School of Library and Information Science, University of Costa Rica. San José - Costa Rica

References

Aluja, Tomás (2001). La minería de datos, entre la estadística y la inteligencia artificial. Qüestiió, 25(3) ,479‑498.

Arriola, Oscar; Butrón, Katya (2008). Sistemas integrales para la automatización de bibliotecas basados en software libre. ACIMED, 18(6).

Chinchilla, Ricardo (2011). Mercado de datos: conceptos y metodologías de desarrollo. Tecnología en Marcha, 24(3), 55-66.

De la Puente, Marcelo (2010). Bibliominería y minería de datos. Consultora de Ciencias de la Información, 15. http://www.slideshare.net/pattsul/014

Fernández Mynor (2012a). Gestión estratégica y la automatización de las unidades de información. Revista de la Escuela de Bibliotecología, Documentación e Información, 2(1).

Fernández, Mynor (2012b). Computación en la nube para automatizar unidades de Información. Bibliotecas, 30(1).

Nicholson, Scott (2003). The bibliomining process: Data warehousing and data mining for library decision-making. Information Technology and Libraries, 22(4).

Pal, Jiban (2011). Usefulness and applications of data mining in extracting information from different perspectives. Annals of Library and Information Studies, 58(1), 7 -16.

Poe, Vidette (1998). Building a data warehousefor decision support. New Jersey: Prentice-Hall.