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- 类Apriori算法algorithm similar to Apriori
- 类Apriorisimilar Apriori
- 2) 采用关联规则中的Apriori算法获取优先工序序列段。2) How to discover preferential operation series segment adopting Apriori algorithm in association rules.
- 经典的生成频繁项目集集合的算法包括Apriori算法和FP-growth算法。The famous algorithms to find the frequent itemsets include Apriori and FP-growth.
- 胺类amine
- 给出了一个Apriori算法的改进算法，能有效提高原Apriori算法的时间效率。Presenting and proving an algorithm to improve the Aprioria I go r it h m.
- 灵长类Primates
- 脂类FAT
- 在原有的Apriori算法的基础上提出了在关系数据库中的可拓关联规则挖掘算法。The creation in this paper is that we present an algorithm of association rules,discovery based on extension transformation and Apriori algorithm.
- 第二种是TID算法，此算通过减少对数据库的扫描次数完成了对Apriori算法优化。The second is TID algorithm,which make the Apriori algorithm more efficient by reducing the times of scanning database.
- 聚类算法clustering algorithm
- 关联规则的挖掘主要是基于频繁集的方法，相关的算法主要有Apriori算法和FP-growth算法。Apriori algorithm and FP-growth algorithm are two main algorithms in mining association rules which are based on frequent itremsets.
- 算法类class of algorithm
- 类C算法C algorithm
- Apriori算法Apriori algorithm
- 类属算法generic algorithm
- 接下来对关联规则的数据挖掘进行了阐述，并分别对Apriori算法和DHP算法进行了仿真研究；Description of mining association rules is then given, which is followed by Apriori algorithms and DHP algorithms, both of the algorithms are simulated.
- 类PSO算法quasi-PSO algorithm
- ATR聚类算法clustering algorithm
- TT-Apriori算法TT-Apriori algorithm
