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Research of Mining Algorithm Based on 1NF Strongly Correlated Item Pair

机译:基于1NF强相关项对的挖掘算法研究

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In order to reduce the computation cost of candidate pairs, we have developed the Taper algorithm according to 1NF property. The developed TaperR algorithm can cut the number of candidate pairs to improve efficiency. Experimental results exhibit that the new algorithm is well worked in the mining of all-strong-pairs. So it is more suitable for real relation database system.
机译:为了降低候选对的计算成本,我们开发了根据1NF属性的锥形算法。开发的Taperr算法可以减少候选对的数量以提高效率。实验结果表明,新算法在全强对的挖掘中很好地工作。所以它更适合真实关系数据库系统。

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