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Common sequential pattern mining algorithms handle static databases. Once the data change, the previous mining result will be incorrect, and we need to restart the entire mining process for the new updated sequence database. Previous approaches, within either Apriori-based or projection-based framework, mine patterns in a forward manner. Considering the incremental characteristics of sequence-merging,...
Sequential patterns in customer transactional databases are commonly mined for E-Commerce recommendations. In many practical applications, the absence of certain item-sets and sequences could have important implications. Mining frequent sequences comprising not only the occurrence but also the absence of certain sequences will increase the accuracy of product recommendations. A sequential pattern...
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