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- W2358659387 abstract "By analyzing and study Apriori algorithm,two main problem in the practical use are found,firstly generating quite a lot of redundancy association rules;secondly,it may be mine an association rule that possess high support and confidence,but it's uninteresting and even it is false.Furthermore,it can't generate a rule with negative item.Thus,two properties of the association rules are bring and introduced the third interesting measure's threshold—correlation support measure.By use of the properties,it can diminish some redundancy.At the same time the correlation support measure can be used to mine those rules which are more interesting and it design a efficiency algorithm and by the use of induce two properties to raise efficiency in the algorithm to resolve the above shortcoming well." @default.
- W2358659387 created "2016-06-24" @default.
- W2358659387 creator A5058264329 @default.
- W2358659387 date "2010-01-01" @default.
- W2358659387 modified "2023-09-25" @default.
- W2358659387 title "Research on the Algorithm of Efficient Association Rules Base on Apriori and Interestingness Research" @default.
- W2358659387 hasPublicationYear "2010" @default.
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