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Many modern recommender systems are not suitable for recommending infrequently purchased products such as cars due to lack of user rating data to infrequently purchased products. A big challenge for recommending infrequently purchased products is the lack of data about users' interests. Web log data is an important data resource to derive useful information about users' navigation patterns which in...
Association rule mining plays an important job in knowledge and information discovery. Often the number of the discovered rules is huge and many of them are redundant, especially for multi-level datasets. Previous work has shown that the mining of non-redundant rules is a promising approach to solving this problem, with work in focusing on single level datasets. Recent work by Shaw et. al. has extended...
The quality of association rule mining has drawn more and more attention recently. One problem with the quality of the discovered association rules is the huge size of the extracted rule set. Often for a dataset, a huge number of rules can be extracted, but many of them can be redundant to other rules and thus useless in practice. Mining non-redundant rules is a promising approach to solve this problem...
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