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- W2348266400 abstract "Algorithm of mining weighted association rules based on equivalence classes and multiple minimum supports is proposed to solve the problem that the transactions and data items have not the same importance and frequency in datasets.The algorithm allows the user to specify varied minimum supports and gives items weights to find association rules those cover less data but are useful,in which the user are more interested.The algorithm divides the items into different equivalence classes in the ascending order of their MIS(minimum item supports) values,and then mines the weighted frequent itemsets in each class respectively in the descending order of the minimum support of items.Moreover,the algorithm adopts vertical database to represent primitive transactional database and there is no need to scan the database repeatedly.The experimental results show that the proposed algorithm is efficient." @default.
- W2348266400 created "2016-06-24" @default.
- W2348266400 creator A5042970405 @default.
- W2348266400 date "2013-01-01" @default.
- W2348266400 modified "2023-09-28" @default.
- W2348266400 title "Algorithm of Mining Weighted Association Rules with Multiple Minimum Supports" @default.
- W2348266400 hasPublicationYear "2013" @default.
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