The Bibliomining Process: Data Warehousing and Data Mining for Library Decision Making

Information Technology and Libraries

Volumn 22, Issue 4, 2003, Pages 146-151

  Nicholson, Scott ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0742323926     PISSN: 07309295     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Michael Buckland, "Five Grand Challenges for Library Research, " Library Trends 51, no. 4 (spring 2003): 675-86.
2. Scott Nicholson and J. Stanton, "Gaining Strategic Advantage through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries," in Organizational Data Mining: Leveraging Enterprise Data Resources far Optimal Performance, H. Nemati and C. Barko, eds. (Hershey, Penn.: Idea Group Pub., 2003).
3. M. Berry and G. Linoff, Data Mining Techniques for Marketing, Sales, and Customer Support (New York: Wiley, 1997).
4. "Librarians Use Shredder to Show Opposition to New FBI Powers, " New York Times, Apr. 4, 2003.
5. W. Inmon, Building the Data Warehouse, 3d ed. (New York: Wiley, 2002).
6. "Librarians Receive Advice on Law and Reader Privacy," New York Times, Dec. 12, 2002.
7. M. Berry and G. Linoff, Mastering Data Mining (New York: Wiley, 2000).
8. Berry and Linoff, Data Mining Techniques for Marketing, Sales, and Customer Support.
9. I. Witten and E. Frank, Practical Machine Learning Tools and Techniques with Java Implementations (San Francisco: Morgan Kaufmann, 1999).
10. Berry and Linoff, Data Mining Techniques for Marketing, Sales, and Customer Support; Berry and Linoff, Mastering Data Mining.
11. Berry and Linoff, Data Mining Techniques for Marketing, Sales, and Customer Support; Berry and Linoff, Mastering Data Mining.
12. Witten and Frank, Practical Machine Learning Tools and Techniques.