Data Sampling for Association Rule Mining
In certain situations, the data miner has to perform sampling on the dataset before applying any algorithm. The main reason being too many data to mine. In such a case, a possible technique is random sampling. If classes are uniformly distributed, one may use random sampling before supervised learning.(more…)
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