AN EFFICIENT FREQUENT ITEMSET MINING ALGORITHM

摘要：

Frequent item set mining is a critical step in association rule mining and plays an important role in many data mining tasks including strong rules, correlations and sequential rules.Diffset is an efficient frequent itemset mining algorithm which uses vertical database layout An efficient hybrid algorithm DiffsetHybrid is brought out The tests indicate that the new algorithm shows good performance with both sparse datasets and dense datasets.

关键词： Frequent itemset mining Diffset DiffsetHybrid

作者: KE LUO XUE-MAO ZHANG

作者单位: Changsha University of Science and Technology, Changsha, Hunan 410076, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 756-761

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）