AN EFFICIENT ALGORITHM FOR MINING FREQUENT ITEM-SETS CONTAINING A CONSTRAINT SUBSET

For users, it is necessary to find frequent item-sets including a subset Co whose value is changed regularly. Recently, many studies showed that the mining of frequent item-sets with often changed constraints should be based on the lattice of closed item-sets and generators instead of mining them di...

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Bibliographic Details
Main Authors: Dương Văn Hải, Trương Chí Tín
Format: Article
Language:English
Published: Dalat University 2013-06-01
Series:Tạp chí Khoa học Đại học Đà Lạt
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Online Access:https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/250
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Summary:For users, it is necessary to find frequent item-sets including a subset Co whose value is changed regularly. Recently, many studies showed that the mining of frequent item-sets with often changed constraints should be based on the lattice of closed item-sets and generators instead of mining them directly from the database. In this paper, a structure and unique representation of frequent item-sets restricted on constraint Co using closed frequent item-sets and their generators are proposed. Then, an algorithm called MFS-Contain-IC is developed to quickly and distinctly generate all frequent item-sets containing Co. The theoretical results are proven to be reliable. Extensive experiments on a broad range of synthetic and real data-sets show the effectiveness of present study.
ISSN:0866-787X