ID 原文 译文
47606 规则挖掘是数据挖掘的一项重要研究内容，也是决策支持系统、人工智能和推荐系统等领域的研究热点，其中，属性约简和最小规则集合抽取是关键环节， Rule mining was an important research content of data mining, and it was also a hot research topic in the fieldsof decision support system, artificial intelligence, recommendation system, etc, where attribute reduction and minimalrule set extraction were the key links.
47607 尤其抽取效率决定了其可应用性。 Most importantly, the efficiency of extraction was determined by its application.
47608 将粗糙集模型和粒计算理论应用于决策规则约简， The rough set model and granular computing theory were applied to the decision rule reduction.
47609 通过粒化函数实现决策表的粒化，由粒隶属度和概念粒集构造算法生成初始概念粒集， The decision table wasgranulated by granulation function, the grain of membership and the concept granular set construction algorithm generat-ed the initial concept granular set.
47610 进而根据概念粒的分辨算子进行属性约简，可视化的概念粒格实现决策规则提取。 Therefore, attribute reduction could be realized by the distinguish operator of conceptgranule, and decision rules extraction could be achieved by visualization of concept granule lattice.
47611 实验结果表明该方法更易计算机编程实现，比已有方法高效实用。 Experimental result showsthat the method is easier to be applied to computer programming and it is more efficient and practical than the existing methods.
47612 无线通信网络中的伪随机序列相似性分析是信息对抗领域中的研究热点。 Similarity analysis of pseudo-random sequence in wireless communication networks is a research hotspot problem in the domain of information warfare.
47613 针对无线网络序列相似度分析中存在的序列超长、特征极其稀疏、无法在工程应用中实时处理等难点问题，提出了在一定可容忍误判概率下的序列相似度分析方法。 Based on the difficulties in super-long sequence, extremely sparse feature,and futilities in engineering application for real-time processing exist in similarity analysis of sequence in wireless net-work, a method of similarity analysis of sequence in a certain margin of misacceptance probability was proposed.
47614 首先对真随机序列相似度概率分布进行了理论分析； Firstly,the similarity probability distribution of real-random sequence was theoretically analyzed.
47615 然后根据 NIST SP 800-22 评估标准对伪随机比特流进行了随机性分析，并对其随机性进行了有效性判定； Secondly, according to thestandard of NIST SP 800-22, the randomness of pseudo-bitstream was analyzed and the validity of pseudo-bitstream wasjudged.