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- W2349817128 abstract "Most of the algorithms for sequential pattern mining can find out all the frequent sequences,however,when the data is huge,the number of the mining results may be too large to be understood.The algorithm for sequence patterns based on the concept lattice can reduce the number of middle results effectively,and therefore is superior to other methods in time performance.And the structure of concept lattice is suitable to reduction.In this paper,the approximation concept is proposed.In the method,concept lattice is constructed based on the business database first,and then the concepts obeying the law of approximation defined is reduced.As a result,the number of frequent 1-sequences and the number of all the frequent sequences will decrease.The experimental results demonstrate that the present approach outperforms the others much in the efficiency and understandability within error." @default.
- W2349817128 created "2016-06-24" @default.
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- W2349817128 date "2009-01-01" @default.
- W2349817128 modified "2023-09-23" @default.
- W2349817128 title "Sequential Patterns Mining Using Concept Reduction for Similitude Degree" @default.
- W2349817128 hasPublicationYear "2009" @default.
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