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.

• 该文对常用的数据挖掘算法C4.；5；SLIQ；SPRINT；关联规则；K-平均值；K-最近邻；贝叶斯网络；人工神经网络；遗传算法及并行性进行了研究探讨；为数据挖掘研究者提供借鉴。