Abstract:The streams where multiple transactions are associated with the same key are prevalent in practice, e.g., a customer has multiple shopping records arriving at different time. Itemset frequency estimation on such streams is very challenging since sampling based methods, such as the popularly used reservoir sampling, cannot be used. In this article, we propose a novel
k
-Minimum Value (KMV) synopsis based method to estimate the frequency of itemsets over multi-transaction streams. First, … Show more
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