| 1. | Application of gray degree of association analysis in seed breeding outstanding
灰色关联度分析在种子生产业绩考评中的应用 |
| 2. | Association analysis between ssr molecular markers and wood properties of populus nigra
标记与欧洲黑杨材性性状的关联分析 |
| 3. | Application of grey association analysis and ds theory in radar emitter identification
灰关联分析和证据理论在雷达辐射源识别中的应用及改进 |
| 4. | A study based on association analysis technique of the latent keywords mining in the e - mail filtering
邮件过滤中基于关联分析的潜在特征词挖掘 |
| 5. | We carried out a genomewide association analysis to identify additional genetic loci associated with an increased risk of rheumatoid arthritis
我们采用染色体组关联分析确定附加遗传基因座与类风湿关节炎的风险增高有关。 |
| 6. | H . p . zhang , c . p . tsai , c . y . yu , and g . bonney （ 2001 ） , “ tree - based linkage and association analyses of asthma , ” genetic epidemiology , 21 , s317 - 322
薛新光（ 2005 ） , “运用资料探勘于资讯产品变装较佳化组合设计之研究” ,大叶大学设计研究所硕士论文。 |
| 7. | An optimal study design , sufficient sample size and proper controls , in conjunction of modern statistic analyses , association analyses would exert its effect on studies on susceptibility of human common diseases
本文认为，优化研究设计、足够的样本含量、正确选择对照，结合先进的数据分析方法，关联研究必将为困扰人类的常见疾病的易感性研究发挥更大的作用。 |
| 8. | We have made comparisons among current methods for gene mapping . most methods based on linkage analysis and association analysis considers one marker at a time and does not take into account the correlated structure of multiple linked markers
我们对比了现有的基因定位分析方法,基于连锁分析和关联分析的基因定位方法多是针对单个疾病特征标记来研究,忽略了多个可能疾病特征标记间复杂互作的综合效应。 |
| 9. | To solve these problems , this thesis proposed a new model for the intrusion detection system that based on the data mining . we have discussed some key technical problems and related solutions . we apply some existing algorithms of association analysis , sequence pattern analysis , and data classification to the intrusion detection system
针对这些问题，本文采用了一种基于数据挖掘技术建立入侵检测系统的方法，讨论了该系统实现中的关键技术及解决方法，将现有的数据挖掘算法中的关联分析、序列模式分析、分类等算法应用于入侵检测系统，对入侵行为提取特征、建立规则，通过对审计数据的处理与这些特征进行匹配，检测入侵，以形成智能化的入侵检测系统。 |
| 10. | On the other hand , a set of if - then conditional rules is induced to examine the relationships among attributes values . the non - stationary model also applies to the association analysis , which means the anomaly value of an attribute a ssumes a novel value under certain conditions depends on the last occurrence of novel value of the same attribute under same conditions
本文还采用if - then形式的规则对所考察的多个属性进行关联分析，并对规则运用上述动态模型，即某一条件下某属性取得新值的异常值与相同条件下该属性上次取得新值以来的时间长度有关。 |
