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Association rules mining on concept lattice using domain knowledge

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4 Author(s)
De-Xing Wang ; Dept. of Comput. Sci. & Technol., Hefei Univ. of Technol., China ; Xue-Gang Hu ; Xiao-Ping Liu ; Hao Wang

Large databases make computation of knowledge discovery more and more expensive, then it is proved counter-evidently that domain knowledge hidden in the database, can often guide and restrict the search for interesting knowledge, play more roles in guiding knowledge discovery in databases. While concept lattice represents knowledge on the Hass diagram with the relationships between entities and attributes, then the knowledge can be shown with hierarchical structure on the Hass diagram, thus it is properly applied to the description of association rules mining in databases. In the paper, we discuss how to use domain knowledge to guide association rules mining on concept lattice, association rules mining on which can be shown that it represents the rules more visual, vivid and concise, if using domain knowledge, we can reduce the search space, avoid blocking unexpected discoveries, so knowledge discovery can be improved effectively.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:4 )

Date of Conference:

18-21 Aug. 2005