The method of icon semantics association can be applied to the improving of the information retrieve system based on icon, and can be applied to information visualization technology in data mining.
这种图形符号的语义联想方法可以用来改善信息检索系统的人机交互效率以及用于数据挖掘领域中的信息可视化技术。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
The data mining system can discover association rules and decision rules.
本数据挖掘系统使用增量算法发现关联规则和提取决策规则。
Second, we realize application and prediction by association rule mining in the audit department of tax system.
利用关联规则算法实现了在税务稽查部门进行预测的方法。
The current algorithms of parallel association rules mining are analyzed, and the main factors affecting the performance of the mining algorithm in the multi-processor system are discussed.
文章在分析已有并行关联规则挖掘算法的基础上，讨论了多处理器系统中影响并行关联规则挖掘算法性能的主要问题。
And making an experiment on it, it proves that binary system sequences set is efficient and feasible as an approach of organization data based on mining of association rules.
通过实验验证，在关联规则数据挖掘中采用二进制序列集这一组织数据方法是有效且可行的。
Data Mining system can find lots of patterns, in which association rules that describe the interesting relations among the items in given data sets are the important area.
数据挖掘系统可以挖掘出多种类型的模式，而其中描述给定数据集的项之间有趣联系的关联分析模式就是一个非常重要的研究方向。
This paper gives an algorithm for mining association patterns between two different time series, and describes the construction of a mining system.
提出了一种针对不同时间序列间关联模式的发现方法，并阐述了以该方法为基础而构建的关联模式挖掘系统的结构。
This paper gives an algorithm for mining association patterns between two different time series, and describes the construction of a mining system.
提出了一种针对不同时间序列间关联模式的发现方法，并阐述了以该方法为基础而构建的关联模式挖掘系统的结构。
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