Based on concept lattice theory and drawing supports from market segmentation variables of marketing, this article develops market segment of digital library users by means of conceptual clustering of formal concept analysis. The authors also investigate the construction of elastic segmentation mechanism by breakthrough of traditional statistics in digital library users.
滕广青,毕强. 基于概念格的数字图书馆用户市场细分* ——数字图书馆用户的概念聚类分析[J]. 现代图书情报技术, 2010, 26(2): 7-11.
Teng Guangqing,Bi Qiang. Market Segmentation of Digital Library Users Based on Concept Lattice ——Conceptual Clustering Analysis of Digital Library Users. New Technology of Library and Information Service, 2010, 26(2): 7-11.
［1］ Borgman C L. What are Digital Libraries? Competing Visions［J］. Information Processing and Management，1999，35 (3):227-243.
［2］张晓林. 数字图书馆机制的范式演变及其挑战［J］. 中国图书馆学报, 2001，27(6):3-5.
［3］ Smith W R. Product Differentiation and Market Segmentation as Alternative Marketing Strategies［J］. The Journal of Marketing，1956，21(1):3-8.
［4］Stumme G. Formal Concept Analysis on Its Way from Mathematics to Computer Science［C］. In：Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces. London, UK：Springer-Verlag，2002:2-19.
［5］ Wille R. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts［C］. In: Proceedings of the 7th International Conference on Formal Concept Analysis. Berlin: Springer-Verlag, 2009: 314-339.
［6］ Strahringer S, Wille R. Conceptual Clustering via Convex-ordinal Structures［C］. In: Proceedings of FGML Workshop. Berlin-Heidelberg：Springer, 1993:85-98.
［7］ Mineau G, Godin R. Automatic Structuring of Knowledge Bases by Conceptual Clustering［J］. IEEE Transactions on Knowledge and Data Engineering, 1995, 7(5):824-829.
［8］ Stumme G, Taouil R, Bastide Y, et al. Computing Iceberg Concept Lattices with Titanic［J］. Data and Knowledge Engineering, 2002,42(2):189-222.
［9］ Ganter B, Wille R. Formal Concept Analysis［M］. Berlin-Heidelberg：Springer-Verlag, 1999.
［10］张正. 数字图书馆用户研究［J］. 图书馆,2004(1):46-48.
