An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Is data mining right for your library?
Computers in Libraries
visualising semantic spaces and author co-citation networks in digital libraries
Information Processing and Management: an International Journal - Special issue on progress toward digital libraries
Citation mining: integrating text mining and bibliometrics for research user profiling
Journal of the American Society for Information Science and Technology
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Information Processing and Management: an International Journal
Data Mining Library Reuse Patterns in User-Selected Applications
ASE '99 Proceedings of the 14th IEEE international conference on Automated software engineering
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Exploiting hyperlinks to study academic Web use
Social Science Computer Review
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Modeling a dynamic design system using the Mahalanobis Taguchi system: two-step optimal algorithm
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Association rules mining for knowledge management: a case study of library services
MMACTEE'07 Proceedings of the 9th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Seat usage data analysis and its application for library marketing
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Classification knowledge discovery in mold tooling test using decision tree algorithm
Journal of Intelligent Manufacturing
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Over the past few years, data mining has moved from corporations to other organizations. This paper looks at the integration of data mining in digital library services. First, bibliomining, or the combination of bibliometrics and data mining techniques to understand library services, is defined and the concept explored. Second, the conceptual frameworks for bibliomining from the viewpoint of the library decision-maker and the library researcher are presented and compared. Finally, a research agenda to resolve many of the common bibliomining issues and to move the field forward in a mindful manner is developed. The result is not only a roadmap for understanding the integration of data mining in digital library services, but also a template for other cross-discipline data mining researchers to follow for systematic exploration in their own subject domains.