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- W2360199561 abstract "Considering the problems caused by the traditional association rules visualization approaches,including being unable to display the frequent pattern and relationships of items,unitary express,especially being not conducive to represent multi-schema association rules,a new visualizing algorithm for multi-valued association rules mining was proposed.It introduced the redefinition and classification of multi-valued attribute data by using conceptual lattice and presented the multivalued attribute items of frequent itemset and association rules with concept lattice structure.This methodology was able to achieve frequent itemset visualization and multi-schema visualization of association rules,including the type of one to one,one to many,many to one,many to many and concept hierarchy.At last,the advantages of these new methods were illustrated with the help of experimental data obtained from demographic data of a province,and the source data visualization,frequent pattern and association relation visual representation of the demographic data were also achieved.The practical application analysis and experimental results prove that the schema has more excellent visual effects for frequent itemset display and authentical multi-schema association rules visualization." @default.
- W2360199561 created "2016-06-24" @default.
- W2360199561 creator A5069838063 @default.
- W2360199561 date "2013-01-01" @default.
- W2360199561 modified "2023-09-25" @default.
- W2360199561 title "Visualization of multi-valued attribute association rules based on concept lattice" @default.
- W2360199561 hasPublicationYear "2013" @default.
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