quantitative attribute meaning in English
量的属性
品质属性
数量属性
Examples
- Attributes reduct , mining classification rules , and discretizing values of quantitative attributes are three fields in mining classification rules
属性约简、分类规则提取、数量属性离散化是分类规则挖掘的三个方面。 - ( 3 ) the evolutionary computation - based algorithm for discretizing values of quantitative attributes , whose advantage is that it can finding the best cuts of a quantitative attribute
( 3 )根据进化计算的极强鲁棒性及寻优能力，提出了基于进化计算的数量型属性离散化算法?进化c均值算法。 - How to handle these attributes affects the mining results and the efficiency . the dissertation proposes the methods of changing the quantitative attributes into bool attributes , so that many algorithms can be used , based on enhanced fcm and the genetic method
（ 2 ）在分布式挖掘过程中，分布式数据库中存在着大量的数量属性，这些数量属性的处理好坏，直接影响着关联规则的挖掘效果和效率。 - And also this taxonomy gives the quantitative attributes in more sides on finer layers and emphasizes the influences of vulnerabilities on the confidentiality , authentication and availability of systems so that it can provide abundant information for vulnerability description and assessment
此外,也提供了弱点多侧面细层次上的量化属性,并且突出了弱点对系统机密性、可鉴别性和可用性等安全属性的影响,为量化的弱点描述、评估提供了丰富的信息支持。 - However , in practical applications , considering cost in constructing the networks or management in networks , users prefer staring networks to net networks which do not meet their requirements . the dissertation proposes the c - dma algorithm to solve this problem , based on fdm and cd . experimental results show that the performance of the c - dma is available and extendable . ( 2 ) in the process of mining association rules , the quantitative attributes exit in databases
但是，在实际的网络应用环境中，用户基于成本和管理等方面的需要，使用的网络结构往往是星型结构的，所以cd算法和fdm算法在网络结构和实际的网络结构不相适应，本文在cd算法及fdm算法的基础上提出以中心结点结构的分布式关联规则挖掘算法，并且从算法分析和仿真试验两个方面证明了算法的有效性和可扩展性。