A case study of library data management: A new method to analyze borrowing behavior

Luis Cano; Erick Hein; Mauricio Rada-Orellana; Claudio Ortega

doi:10.1007/978-3-030-11680-4_12

A case study of library data management: A new method to analyze borrowing behavior

Luis Cano
, Erick Hein
, Mauricio Rada-Orellana
, Claudio Ortega

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

4 Citas (Scopus)

Resumen

The library data management system of academic institutions generates and stores data with information on lends, returns and queries made by users daily. This research aims to provide a useful method to transform this data to obtain relevant knowledge for the management of the library. The process used consisted of a data pre-processing, data transformation and cleaning, and finally the use of privacy and association algorithms. We clarify the proposed method for a university library in Peru where significant results were obtained in the form of association rules. This shows that it is a efficient alternative to have a more detailed knowledge to make better decisions.

Idioma original	Inglés
Título de la publicación alojada	Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings
Editores	Juan Antonio Lossio-Ventura, Denisse Muñante, Hugo Alatrista-Salas
Editorial	Springer Verlag
Páginas	112-120
Número de páginas	9
ISBN (versión impresa)	9783030116798
DOI	https://doi.org/10.1007/978-3-030-11680-4_12
Estado	Publicada - 2019
Publicado de forma externa	Sí
Evento	5th International Conference on Information Management and Big Data, SIMBig 2018 - Lima, Perú Duración: 3 set. 2018 → 5 set. 2018

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	898
ISSN (versión impresa)	1865-0929

Conferencia

Conferencia	5th International Conference on Information Management and Big Data, SIMBig 2018
País/Territorio	Perú
Ciudad	Lima
Período	3/09/18 → 5/09/18

Nota bibliográfica

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-11680-4_12

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Cano, L., Hein, E., Rada-Orellana, M., & Ortega, C. (2019). A case study of library data management: A new method to analyze borrowing behavior. En J. A. Lossio-Ventura, D. Muñante, & H. Alatrista-Salas (Eds.), Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings (pp. 112-120). (Communications in Computer and Information Science; Vol. 898). Springer Verlag. https://doi.org/10.1007/978-3-030-11680-4_12

Cano, Luis ; Hein, Erick ; Rada-Orellana, Mauricio et al. / A case study of library data management : A new method to analyze borrowing behavior. Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings. editor / Juan Antonio Lossio-Ventura ; Denisse Muñante ; Hugo Alatrista-Salas. Springer Verlag, 2019. pp. 112-120 (Communications in Computer and Information Science).

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title = "A case study of library data management: A new method to analyze borrowing behavior",

abstract = "The library data management system of academic institutions generates and stores data with information on lends, returns and queries made by users daily. This research aims to provide a useful method to transform this data to obtain relevant knowledge for the management of the library. The process used consisted of a data pre-processing, data transformation and cleaning, and finally the use of privacy and association algorithms. We clarify the proposed method for a university library in Peru where significant results were obtained in the form of association rules. This shows that it is a efficient alternative to have a more detailed knowledge to make better decisions.",

keywords = "Association rules, Knowledge data discovery, Library management, Pre-processing, Privacy",

author = "Luis Cano and Erick Hein and Mauricio Rada-Orellana and Claudio Ortega",

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Cano, L, Hein, E, Rada-Orellana, M & Ortega, C 2019, A case study of library data management: A new method to analyze borrowing behavior. En JA Lossio-Ventura, D Muñante & H Alatrista-Salas (eds.), Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings. Communications in Computer and Information Science, vol. 898, Springer Verlag, pp. 112-120, 5th International Conference on Information Management and Big Data, SIMBig 2018, Lima, Perú, 3/09/18. https://doi.org/10.1007/978-3-030-11680-4_12

A case study of library data management: A new method to analyze borrowing behavior. / Cano, Luis; Hein, Erick; Rada-Orellana, Mauricio et al.
Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings. ed. / Juan Antonio Lossio-Ventura; Denisse Muñante; Hugo Alatrista-Salas. Springer Verlag, 2019. p. 112-120 (Communications in Computer and Information Science; Vol. 898).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - A case study of library data management

T2 - 5th International Conference on Information Management and Big Data, SIMBig 2018

AU - Cano, Luis

AU - Hein, Erick

AU - Rada-Orellana, Mauricio

AU - Ortega, Claudio

PY - 2019

Y1 - 2019

N2 - The library data management system of academic institutions generates and stores data with information on lends, returns and queries made by users daily. This research aims to provide a useful method to transform this data to obtain relevant knowledge for the management of the library. The process used consisted of a data pre-processing, data transformation and cleaning, and finally the use of privacy and association algorithms. We clarify the proposed method for a university library in Peru where significant results were obtained in the form of association rules. This shows that it is a efficient alternative to have a more detailed knowledge to make better decisions.

AB - The library data management system of academic institutions generates and stores data with information on lends, returns and queries made by users daily. This research aims to provide a useful method to transform this data to obtain relevant knowledge for the management of the library. The process used consisted of a data pre-processing, data transformation and cleaning, and finally the use of privacy and association algorithms. We clarify the proposed method for a university library in Peru where significant results were obtained in the form of association rules. This shows that it is a efficient alternative to have a more detailed knowledge to make better decisions.

KW - Association rules

KW - Knowledge data discovery

KW - Library management

KW - Pre-processing

KW - Privacy

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M3 - Contribución a la conferencia

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BT - Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings

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Cano L, Hein E, Rada-Orellana M, Ortega C. A case study of library data management: A new method to analyze borrowing behavior. En Lossio-Ventura JA, Muñante D, Alatrista-Salas H, editores, Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings. Springer Verlag. 2019. p. 112-120. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-11680-4_12

A case study of library data management: A new method to analyze borrowing behavior

Resumen

Serie de la publicación

Conferencia

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ODS de las Naciones Unidas

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