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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	Information Management and Big Data - 5th International Conference, SIMBig 2018, Proceedings
Editors	Juan Antonio Lossio-Ventura, Denisse Muñante, Hugo Alatrista-Salas
Publisher	Springer Verlag
Pages	112-120
Number of pages	9
ISBN (Print)	9783030116798
DOIs	https://doi.org/10.1007/978-3-030-11680-4_12
State	Published - 2019
Externally published	Yes
Event	5th International Conference on Information Management and Big Data, SIMBig 2018 - Lima, Peru Duration: 3 Sep 2018 → 5 Sep 2018

Publication series

Name	Communications in Computer and Information Science
Volume	898
ISSN (Print)	1865-0929

Conference

Conference	5th International Conference on Information Management and Big Data, SIMBig 2018
Country/Territory	Peru
City	Lima
Period	3/09/18 → 5/09/18

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

Association rules
Knowledge data discovery
Library management
Pre-processing
Privacy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

Cano, L., Hein, E., Rada-Orellana, M., & Ortega, C. (2019). A case study of library data management: A new method to analyze borrowing behavior. In 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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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",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 5th International Conference on Information Management and Big Data, SIMBig 2018 ; Conference date: 03-09-2018 Through 05-09-2018",

year = "2019",

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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. in 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, Peru, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

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

M3 - Contribución a la conferencia

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SN - 9783030116798

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

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ER -

Cano L, Hein E, Rada-Orellana M, Ortega C. A case study of library data management: A new method to analyze borrowing behavior. In Lossio-Ventura JA, Muñante D, Alatrista-Salas H, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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