Abstract
Book selection in libraries should be conducted on the basis of analyses on circulation data. In addition to the number of loans, the change of the number over time can be a criterion for book selection. This paper proposes a model to represent the change of the number with the time from publication. The proposed model is applied to practical circulation data in a library and is evaluated in terms of the root mean square errors. As a result, the proposed model is suitable compared with the standard one. Additionally, this paper analyzes the differences of the changes between classified books which are obtained by the previous analysis. The information obtained by applying the proposed model to circulation data is expected to be utilized for book selection.
Original language | English |
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Pages (from-to) | 172-181 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 9156 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | 15th International Conference on Computational Science and Its Applications, ICCSA 2015 - Banff, Canada Duration: Jun 22 2015 → Jun 25 2015 |
Keywords
- Book selection
- Circulation data
- Data mining
- Library
- Obsolescence
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)