Knowledge discovery applied to material acquisitions for libraries

Information Processing and Management

Volumn 40, Issue 4, 2004, Pages 709-725

  Wu, Chien Hsing ^a   Lee, Tzai Zang ^b   Kao, Shu Chen ^c  

^a NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^c KUN SHAN UNIVERSITY   (Taiwan)

Author keywords

Association rule; Knowledge discovery; Material acquisitions; Utilization

Indexed keywords

DATA ACQUISITION; DATABASE SYSTEMS; DECISION MAKING; DIGITAL LIBRARIES; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; KNOWLEDGE ACQUISITION; STATISTICS;

ASSOCIATION RULE; KNOWLEDGE DISCOVERY; LIBRARY MANAGEMENT; MATERIALS ACQUISITIONS;

LIBRARIES;

EID: 2942602992     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2003.08.010     Document Type: Article

References (18)

1. Adriaans P., Zantinge D. Data mining. 1996;Addison-Wesley, Reading, Mass. Chapter 6.
2. Budd J.M., Adams K. Allocation formulas in practice. Library Acquisitions: Practice and Theory. 13:1989;381-390.
3. Chen M.S., Han J., Yu P.S. Data mining: an overview from a database perspective. IEEE Transaction on Knowledge and Data Engineering. 8:1996;866-883.
4. Chen T.-Y. A measurement of the resource utilization efficiency of university libraries. International Journal of Production Economics. 53(1):1997;71-80.
5. Fayyad U., Stolorz P. Data mining and KDD: promise and challenge. Future Generation Computer Systems. 13:1997;99-115.
6. Greaves Jr., F. L. (1974). The allocation formula as a form of book fund management in selected state-supported academic libraries, unpublished doctoral dissertation, Florida State University.
7. Hamaker C. Time series circulation data for collection development or: you can't intuit that. Library Acquisition: Practice and Theory. 19(2):1995;191-195.
8. Han, J., Fu, Y., Koperski, K., & Zaiane, O. (1996). DMQL: a data mining query language for relational databases. DMKD-96 (SIGMOD-96 Workshop on KDD), Montreal, Canada.
9. Kao S.C., Chang H.C., Lin C.H. Decision support for the academic library acquisition budget allocation via circulation data base mining. Information Processing and Management. 39(1):2003;133-147.
10. Kohavi R., Provost F. Data Mining and Knowledge Engineering. 5(1/2):2001.
11. Kranich N. Building a global digital library. Chen C.-C. IT and global digital library development. 1999;251-256 MicroUse Information, West Newton Massachusetts.
12. Lu H., Feng L., Han J. Beyond intratransaction association analysis: mining multidimensional intertransaction association rules. ACM Transaction on Information Systems. 18(4):2000;423-454.
13. Meo R., Psaila G., Ceri S. An extension to SQL for mining association rules. Data Mining and Knowledge Discovery. 2:1998;195-224.
14. Pu H.T., Lin S.C., Chien L.F., Juan Y.F. Exploration of practical approaches to personalized library and networked information services. Chen C.-C. IT and global digital library development. 1999;333-343 MicroUse Information, West Newton Massachusetts.
15. Srikant R., Agrawal R. Mining generalized association rules. Future Generation Computer Systems. 13:1997;161-180.
16. Stevens P.H. Who's number one? evaluating acquisitions departments. Library Collections, Acquisitions, and Technical Services. 23:1999;79-85.
17. Tuten J.H., Lones B. Allocation formulas in academic libraries. 1995;Association of College and Research Libraries, Chicago, IL.
18. Wise K., Perushek D.E. Goal programming as a solution technique for the acquisition allocation problem. Library and Information Science Research. 22(2):2000;165-183.