Bibliomining Bibliography

Goal: The purpose of this bibliography is to collect the work published about the bibliomining process in libraries. While there are many pieces on data mining, and bibliometrics, the focus on this bibliography are those projects which would be considered part of the bibliomining process. In addition, the work done on expert systems in libraries will not be covered here in detail. If you know of a piece that should be here or are an author and wish to be listed here, write Scott Nicholson.

Introductions

Banerjee, K. (1998). Is data mining right for your library? Computers in Libraries, 18(10), 28-31.
Benoit, G. (2002). Data mining. In B. Cronin (Ed.), Annual Review of Information
Science and Technology 36, Medford, NJ: Information Today, 265-310.
Guenther, K. (2000). Applying data mining principles to library data collection. Computers in Libraries, 20(4), 60-63.
Nicholson, S. (forthcoming). The Basis for Bibliomining: Frameworks for Bringing Together Usage-Based Data Mining and Bibliometrics through Data Warehousing in Digital Library Services. Information Processing and Management.
Nicholson, S. (2003) The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making. Information Technology and Libraries 22 (4). 146-151.
Nicholson, S. & Stanton, J. (2003). Gaining strategic advantage through bibliomining: Data mining for management decisions in corporate, special, digital, and traditional libraries. In Nemati, H. & Barko, C. (Eds.). Organizational data mining: Leveraging enterprise data resources for optimal performance. Hershey, PA: Idea Group Publishing. 247-262.Nutter, S. K. (1987). Online systems and the management of collections: Use and implications. Advances in Library Automation Networking, 1, 125-149.
Wormell, I. (2000). Informetrics - a new area of quantitative students. Education for Information 18, 131-138. - Bibliomining is part of Infometrics.

Conceptual Explorations

Nicholson, S. (forthcoming). Digital library archeology: A conceptual framework for understanding library use through artifact-based evaluation. The Library Quarterly.
Nicholson, S. (2004). A conceptual framework for the holistic measurement and cumulative evaluation of library services. Journal of Documentation 60(2). 164-182

Specific Bibliomining Applications

Management and Decision-Making

Kao, S. Chang, H., and Lin, C. (2003). Decision support for the academic library acquisition budget allocation via circulation database mining. Information Processing &Management 39(1), 133-148.
Mancini, D. D. (1996). Mining your automated system for systemwide decision making. Library Administration & Management, 10(1), 11-15.
Peters, T. (1996). Using transaction log analysis for library management information. Library Administration & Management 10(1), 20-25.Collection Development / Acquistions
Atkins, S. (1996). Mining automated systems for collection management. Library Administration & Management 10(1), 16-19.
Hudomalj, E, Vidmar, G. OLAP and bibliographic databases. Scientometrics 2003; 58(3): 609-622.
Nicholson, S. (2003). Bibliomining for automated collection development in a digital library setting: Using data mining to discover Web-based scholarly research works. Journal of the American Society for Information Science and Technology 54(12). 1081-1090.

Reference and Reader's Advisory (Recommendations)

Chau, M. Y. (2000). Mediating off-site electronic reference services: Human-computer interactions between libraries and Web mining technology. Fourth international conference on knowledge-based intelligent engineering systems & allied technologies (Vol. 2, pp. 695-699). Piscataway, NJ: IEEE.
Geyer-Schulz,A., Neumann, A., and Thede, A. (2003). An Architecture for Behavior-Based Library Recommender Systems .InformationTechnology and Libraries. (22),4. 165-174.
Neumann, A., Geyer-Schulz,A.Hahsler, M., and Thede, A. (2003). An Integration Strategy for Distributed Recommender Services in Legacy Library Systems. In Martin Schader, Wolfgang Gaul, and Maurizio Vichi, editors, Between Data Science And Applied Data Analysis, Springer,
Heidelberg-Berlin.
Neumann, A., Geyer-Schulz,A.Hahsler, M., and Thede, A. (2003). Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries. In Hamparsum Bozdogan, editor, Statistical Data Mining and Knowledge Discovery, Chapmann & Hall / CRC, 2003.
Neumann, A., Geyer-Schulz,A., and Thede, A. (2003). Others Also Use: A Robust Recommender System for Scientific Libraries. In Traugott Koch and Ingeborg Torvik Sølvberg, editors, Research and Advanced Technology for Digital Libraries, LNCS 2769, Springer, Berlin
Heidelberg New York.

User Studies

Chaudhry, A. S. (1993). Automation systems as tools of use studies and management information. IFLA Journal 19(4), 397-409.
Harter, S. P. & Hert, C. A. (1997). Evaluation of information retrieval systems: Approaches, issues, and methods. In M.E. Williams (Ed.), Annual review of information science and technology (Vol. 32, pp. 3-94). Medford, NJ: Information Today. - Covers literature that looks at online searching behavior.
Nicholas, D, Huntington, P, and Watkinson, A. (2005). Scholarly journal uagee: The results of deep log analysis. Journal of Documentation 61(2). 248-280.
Papatheodorou, C., Kapidakis, S. Sfakakis, M., and Vassiliou, A. (2003). Mining user communities in digital libraries, Information Technology and Libraries 22(4). 152-157.
Sallis, P., Hill, L., Janee, G., Lovette, K., & Masi, C. (1999). A methodology for profiling users of large interactive systems incorporating neural network data mining techniques. Proceedings of the 1999 Information Resources Management Association International Conference(pp. 994998). Hershey, PA: Idea Group Publishing.
Schulman, S. (1998). Data mining: Life after report generators. Information Today 15(3), 52.
Suárez-Balseiro, C.A., Iribarren-Maestro, I., Casado, E. S. A Study of the Use of the Carlos III University of Madrid Library's Online Database Service in Scientific Endeavor. Information Technology and Libraries.(22), 4; p. 179-182.
Suárez-Balseiro, C. & Sanz-Casado, E. (2001). Measuring database service use patterns as a tool for evaluating the academic networked environment: The case of the Carlos III university library. Performance Measurement and Metrics 2(3), 173-191. (If you are a subscriber to the online version of the journal, you can see the full text of the article)Digital Libraries

Bollen, J., Luce, R., Vemulapalli, S., and Xu, W. (2003). Usage analysis for the indentification of research trends in digital libraries. D-Lib Magazine 9(5). Available online at http://www.dlib.org/dlib/may03/bollen/05bollen.html. Lawrence, S., Giles, C. L., & Bollacker, K. (1999). Digital libraries and autonomous citation indexing. IEEE Computer 32(6), 67-71.
Pierrakos, D., Paliouras, G., Papatheodorou, C., and Spyropoulos, C. D. (2003). Web usage mining as a tool for personalization: A survey User Modeling and User-Adapted Interaction Journal 13(4), 311-372.

Bibliometrics

Garfield, E., Pudovkin, A.I.., Istomin, V. S. Mapping the Output of Topical Searches in the Web of Knowledge and the Case of Watson-Crick. Information Technology and Libraries (22),4.183-187.
Porter, A., Kongthon, A., and Lu, J.(2002). Research profiling: Improving the literature review. Scientometrics 53(3), 351-370. Retreived June 22, 2002 from ttp://tpac.gatech.edu/toa/respro.pdf. This group, the Technology Policy and Action Center, has a website at http://tpac.gatech.edu.
Wormell, I. (2003). Matching subject portals with the research environment. Information Technology and Libraries 22(4).158-166.

Data Warehousing

Nicholson, S. (2003). Avoiding the Great Data-Wipe of Ought-Three. American Libraries, 34(9), p. 36.
Bleyberg, M. Z., Zhu, D., Cole, K., Bates, D., Zhan, W. (1999). Developing an integrated library decision support warehouse. IEEE international conference on systems, man, and cybernetics (Vol. 2, pp. 546-551). Piscataway, NJ: IEEE.
Su, S. & Needamangala, A. (2000). Harvesting information from a library data warehouse. Information Technology and Libraries, 19(1), 17-28.
Zucca, J. (2003). Traces in the Clickstream: Early Work on a Management Information Repository at the University of Pennsylvania
Information Technology and Libraries. (22), 4. 175-178.

Specific Technologies

Doszkocs, T. E. (n.d.). Neural networks in libraries: The potential of a new information technology. Retrieved October 24, 2001, from http://web.simmons.edu/~chen/nit/NIT%2791/027~dos.htm

Privacy Issues (not intended to be complete - just a sampling of the issues)

Estabrook, L. (1996). Sacred trust or competitive opportunity: Using patron records. Library Journal, 121(2), 48-49.
Pace, A. K. It's a matter of privacy. Computers in Libraries, 21(6), 50-52.
Patron confidentiality, millennium style [Electronic version]. (1999, June/July). American Libraries, 30, 86.
Seaman, S. (2001, October 27). Confidentiality of library records. Presentation at the Colorado Library Association Annual Meeting. Retrieved January 27, 2002 from http://spot.colorado.edu/~seaman/confidentialitylaws.htm
and information centers. London: Bowker-Saur.
Sprain, M. (2001). Confidentiality in libraries. Colorado Libraries, 27(1), 36-38.