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- 类Apriori算法 algorithm similar to Apriori
- 类Apriori similar 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