This paper studies some common algorithms for data mining, such as C4.5, SLIQ, SPRINT, association rule, K-means, K-nearest neighbors, Bayesian network, artificial neural network and genetic algorithm, and their parallelism.

 
  • 該文對常用的數據挖掘算法C4.;5;SLIQ;SPRINT;關(guān)聯(lián)規則;K-平均值;K-最近鄰;貝葉斯網(wǎng)絡(luò );人工神經(jīng)網(wǎng)絡(luò );遺傳算法及并行性進(jìn)行了研究探討;為數據挖掘研究者提供借鑒。
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