特征属性

• By using of simulated annealing algorithm , attribute weights of hierarchy clustering model were optimized in terms of weights allocation quotas , which was used to improve the case retrieval efficiency and quality
  基于模拟退火算法对特征属性的权重值进行优化，通过在相似度检索模型中加入权值分配的指导信息，防止检索出的相似度系数最大的事例并非最佳事例，提高了检索的质量。
• In this strategy , the theory and methods of attribute importance within rough set were applied to define the weight of each feature attribute of the case ; the theory and methods of knowledge reduction was applied to define the index of the case knowledge base
  在该策略中，运用粗糙集中属性重要度的理论和方法，确定事例各特征属性的权重，运用知识约简的理论和方法判断事例知识库的索引。
• Chapter 2 presents a deformation - and - reconstruction - oriented virtual design model , which includes the representation of part attributes , surface character relationships . a milti - hierarchical pan model is used to describe the part character and geometry information
  第二章给出了面向曲面变形与重建的曲面零件层次网格模型，基于分层次的零件信息模型来表达网格面的特征属性及几何属性。
• Semi - naive bayesian classifier extends the structure of naive bayesian classifier in order to get rid of the limit of the assumption of independence between feature attributes of naive bayesian classifier and improve the performance of classification
  半朴素贝叶斯分类模型对朴素贝叶斯分类模型的结构进行了扩展，其目的是为了突破朴素贝叶斯分类模型特征属性间独立性假设限制，提高分类性能。
• We introduce data mining technology in data analyzing , and extend algorithms of this system based on exploiting algorithms in data mining , such as conjunction analyzing algorithm and serial mode analyzing algorithm , which can extract security related attributes of system characteristic efficiently , promote the scalability of the system greatly and provide data support for insight research toward the system
  在数据分析中引入了数据挖掘技术，在利用数据挖掘中的关联分析、序列模式分析等算法的基础上，针对本系统对算法进行了扩展，能够有效的提取与安全相关的系统特征属性，大大提高了系统的可扩展性，并且对系统的深入调查提供数据的支持。
• In the fourth section of the thesis , the method that constructing statistical features based - on time for connection records and using these features to construct classification models were studied in detail . in order to improve the accuracy of classification model and decrease the rate of false positive , some factors that may have bad influence on accuracy of classification model were analyzed and the method of selecting appropriate set of features was also provided
  论文的第四部分，详细研究了使用网络连接记录的基本特征属性构建基于时间的统计特征属性方法，通过选择适当的特征属性集来提高异常检测模型的分类精度，降低误报率；同时分析了影响检测模型分类精度的因素；对不同实验条件下得到的实验结果进行了比较和分析。
• Aimed at the international engineering project life cycle entire process in various risks factor , we give the risk rank analysis policy - making table , and reduce the attributes and the attribute values of the venture decision table using the roughest theory , we find that the main characteristic attributes that initiate various ranks risks ; then we used neural network model to analyse , which saves the time for the international contractors when they makes the risk factor analysis and let them decide more quickly whether to bid or not , and the bid cost
  摘要针对国际工程项目生命周期全过程中的各风险因素，给出了风险等级分析的决策表，并运用粗集对风险决策表的各属性和属性值进行约简，找出了引发各等级风险度的主要特征属性；然后结合神经网络模型进行分析，使国际承包商在作风险因素分析时节省了时间，更为快捷地决定投标与否及投标成本。
• It is necessary to investigate the relationship between traffic and network performance parameters because network traffic plays an important role in network performance research and its characteristics exhibit by network performance parameters such as packet loss , delay and delay jitter 。 this is the work of traffic measurement , modeling and analysis
  正是由于流量在网络性能研究中这种十分重要的地位,同时流量的特征属性通过外在的网络性能参数(丢包,延迟,延迟抖动)表现出来,那么就有必要探讨两者之间的联系,这即是属于网络流量测量与分析的工作。
• After the weightiness of product attributes being researched , a new method is established to calculate the weight of attributes . the method is applied in weighted distance coefficient and system similarity to measure similarity degree . it enhances the objectivity and accuracy of the similarity measures
  探讨了在相似度量中机械产品系统特征属性的重要性问题，提出一种新的权重值确定方法，在此基础上建立加权距离系数法，并研究了系统相似度量方法，提高了相似度量的客观性与准确性。