Mining and analyzing digital archive usage data to support collection development decisions

Author

Ward, Jewel ; Bollen, Johan ; Pearson, Jeffrey ; Chan, Shing-Cheung ; Hui-Hsien Chi ; Chi, Hui-Hsien ; Guevara, Kristine ; Huang, Hsiao-han ; Kim, Genesan ; Krivokon, Maks ; Lee, Bo H. ; Li, Pei-Han ; Muliawan, Fenny ; Nguyen, Vu ; Boehm, Barry W. ; Brown

Author_Institution

Univ. of Southern California, Los Angeles, CA

fYear

2005

fDate

7-11 June 2005

Firstpage

417

Lastpage

417

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

Keywords

data mining; decision support systems; digital libraries; information retrieval; University of Southern California Digital Archive; co-retrievals; collection development decisions; data mining; decision support tool; digital archive usage data; object characteristics; object relationships; usage trends; Algorithm design and analysis; Clustering algorithms; Data analysis; Data mining; Databases; Graphics; Software libraries; Visualization; Web server; co-retrieval; collection development; data mining; usage analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Libraries, 2005. JCDL '05. Proceedings of the 5th ACM/IEEE-CS Joint Conference on

Conference_Location

Denver, CO

Print_ISBN

1-58113-876-8

Type

conf

DOI

10.1145/1065385.1065521

Filename

4118620