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Frequent itemset mining is widely used as a fundamental data mining technique. Recently, there have been proposed a number of MapReduce-based frequent itemset mining methods in order to overcome the limits on data size and speed of mining that sequential mining methods have. However, the existing MapReduce-based methods still do not have a good scalability due to high workload skewness, large intermediate...
A hash table is a fundamental data structure implementing an associative memory that maps a key to its associative value. Besides, the paradigm of micro-architecture design of CPUs is shifting away from faster uniprocessors toward slower chip multiprocessors. In this paper, we propose enhanced chained hashing and Cuckoo hashing methods for modern computers having a lot of CPU cores with exploiting...
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