Mining and analyzing digital archive usage data to support collection development decisions Jewel Ward, Maks Krivokon, Bo H. Lee, Pei-Han Li, Fenny Muliawan, Vu Nguyen, Barry W. Boehm, A. Winsor Brown, Edward Colbert, David Alex Lamb, Mayur Patel, Johan Bollen, Jeffrey Pearson, Shing-Cheung Chan, Hui-Hsien Chi, Marie Chi, Kristine Guevara, Hsiao-han Huang, and Genesan Kim   View Paper (PDF)   Return to Demonstration Session 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. ©2006 Association for Computing Machinery