查询词典 apriori

In discrete-time linear system, apriori H〓 filtering, aposteriori H〓 filtering, L〓 apriori filtering with an H〓 error bound, L〓 aposteriori filtering with an H〓 error bound, robust H〓 apriori filtering, robust apriori L〓 filtering, and robust aposteriori L〓 filtering to noise inputting matrix uncertainty system are considered.

对离散线性系统，研究了确定性系统的H〓验前滤波和验后滤波、H〓约束下的L〓验前滤波及验后滤波、不确定性系统的H〓验前滤波、鲁棒L〓验前滤波及噪声输入矩阵不确定性情况下的鲁棒L〓验后滤波。

The apriori and aposteriori H〓-optimal filtering question can be solved directly. L〓 Apriori and aposteriori filtering with an H〓 error bound can be solved by semidefinite programming. Robust H〓 apriori filtering and robust apriori L〓 filtering in discrete-time system are subject to a nonconvex constraint.

对这些滤波问题解法的改进同连续系统下的情况基本类似，对确定性系统的H〓验前滤波和验后滤波，本文解法可直接得出最优滤波问题的解；对H〓约束下的L〓验前滤波及验后滤波，其解可归结为一凸优化问题；但不确定性系统H〓验前滤波和鲁棒L〓验前滤波的LMI解法中有了非凸约束，因此要用迭代法求解。

Simulation experiment shows that the efficiency and capability of the ARMV algorithm is better than that of the Apriori algorithm.

实验表明ARMV算法比Apriori算法具有更好的性能和效率。

The mining engine of that system adopt the Apriori algorithms reformed by me.

它的数据挖掘引擎就是采用了由我改进的Apriori算法。

In this thesis, we research the Apriori algorithm for discovering frequent itemsets and fast algorithm for rule generation.

论文在阐述了数据挖掘的基本概念、挖掘步骤和挖掘特点的基础上，对关联规则数据挖掘理论进行了深入的研究，利用Apriori算法和规则生成快速算法分别实现了频繁项目集的发现和关联规则的生成。

This is a study on apriori algorithm procedures, papers can be downloaded at the VIP site!

详细说明：这是一个关于apriori算法的改进程序，论文可以在维普网站上下载！

Frequent Mining Apriori algorithm, the use of achieve, and quite overseas.

频繁集挖掘Apriori算法，使用实现的，很不错，值得一看。

Firstly, the RFCM algorithm and Apriori algorithm were expounded. The production parameters were fuzzed by fuzzy clustering algorithm. Depending on Fuzzy_ClustApriori algorithm, the fuzzy association rules were studied and implemented in processing industry.

首先阐述了模糊聚类的RFCM算法和关联规则的Apriori算法的内容，分析了实现模糊关联规则的Fuzzy_ClustApriori算法流程，并用RFCM算法对实际数据进行分析，得到不同类别的模糊数。

The chief points of this paper are summered as follows: Firstly, the dynamic rule-adjusting algorithms in Snort is analyzed. Secondly, some methods to improve the algorithms are discussed and the results of experiment are obtained. Thirdly, a kind of anomaly detection models using association rule mining algorithm is put forward, and the improvements of Apriori algorithm are pointed out. Fourthly, the advantage of the new algorithm and the feasibility of this model are testified. Lastly, a framework of distributed intrusion detection system based on data mining is designed, and distributed cooperation concepts and many detecting methods are adopted in order to guarantee the accuracy and completeness of the detecting system.

论文的主要工作如下：本文分析了Snort中的动态规则调整算法，讨论了一些改进的思路，给出了实验结果；提出了一种运用关联规则挖掘算法进行异常检测的模型，根据入侵检测的实际情况对Apriori算法进行了改进，通过实验证实了改进算法的优越性和模型的可行性；设计了一种基于数据挖掘的分布式入侵检测系统框架，采用分布式协作思想，结合多种检测方法，保证了系统检测的准确性和完备性。

The most essential part of the dissertation is the study on classic ID3 algorithm and Apriori algorithm. The main works are listed as follows:①The detailed theoretical background of ID3 algorithm is introduced, and based on the treeing rules. The decision tree is obtained through the practical learning of this algorithm.

本文重点对决策树方法的经典算法ID3算法和关联规则经典算法Apriori算法进行了研究，完成的主要工作如下：①在决策树方面详细介绍了经典算法ID3算法的理论背景，并按照建树的规则，通过实例使用ID3算法学习得到一棵决策树。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。