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Considering the ever-expanding volume and complexity of data, the scalability of frequent itemset mining has emerged as a critical challenge Traditional methods may struggle to handle the sheer size of datasets and the intricacies of contemporary data sources. This necessitates the development of more scalable algorithms and strategies that can efficiently process and analyze data on a grand scale
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