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- W2392411040 abstract "Tradition algorithm attempted to improve the mining efficiency reducing the number of database passes to control the I/O cost, which at first derives candidate itemsets from tuples in database, and count support of candidate itemsets to get frequent itemsets. Changing the former way of discovering frequent itemsets, we can understand the defi- nition of frequent itemsets from another standpoint. Making use of atifical immune strategy, this paper present a new algorithm. In the paper, the algorithm is introduced in detail. The cost of new algorithm is related to the support and the total number of database. Finally, simulation shows the correctness and validity compared with other algorithm." @default.
- W2392411040 created "2016-06-24" @default.
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- W2392411040 date "2005-01-01" @default.
- W2392411040 modified "2023-09-24" @default.
- W2392411040 title "Information Feature Extraction Based on Immune Aglorithm" @default.
- W2392411040 hasPublicationYear "2005" @default.
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