1. Mining and analyzing digital archive usage data to support collection development decisions
- Author
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G. Kim, Jewel H. Ward, M. Krivokon, Hsiao-han Huang, F. Muliawan, Pei-Han Li, M. Chi, Hui-Hsien Chi, M. Patel, Vu Nguyen, A.W. Brown, J. Pearson, Alexander Lam, Barry Boehm, Shing-Cheung Chan, E. Colbert, K. Guevara, Johan Bollen, and B.H. Lee
- Subjects
Structure (mathematical logic) ,World Wide Web ,Decision support system ,Web server ,Computer science ,Graphics ,computer.software_genre ,Digital library ,Cluster analysis ,computer ,Usage data ,Data science ,Collection development - Abstract
We demonstrate a "collection development decision support tool" that mines digital archive usage data. We want to better understand the University of Southern California (USC) Digital Archive's collection structure by analyzing the objects' characteristics, by analyzing the relationships between viewed objects, and by understanding usage trends over time. By relying on implicit patterns of usage data, such as co-retrievals, rather than explicit data, such as hit counts, we believe we can make more informed decisions about where to expend our resources.
- Published
- 2005
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