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The paper; discuss the concept of estimating and building the model process using association rule model, scanning item sets with their counts and design a novel, efficient, dynamic mining algorithm. (ARBSI) will not require rescanning the original database after collecting the data, even if a number of transactions have been newly inserted, and this will work regardless of the support value used and regardless of the confidence value used. (ARBSI) can work in conventional form, this is more efficient and will reduce the time when its performance is compared with the previous techniques used, in such away as: It will know the number of items used from the last process after normalization sub-process which will reduce the time for scanning each transaction, It will know the types of modification insert, update, and/or delete, In case there is an new inserted record (ARBSI) can translate this record to numeric using dummy table for attribute without duplicate (especially for nominal values)
Rosane Cavalcante Fragoso, Brasil
Chief Scientific Officer and Head of a Research Group
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