第四部分城市空间数据挖掘实验系统构建。
The fourth part: Establishment of urban spatial data mining experimental system.
推算可预知分辨矩阵法处理数据所消耗的时间，对数据挖掘实验的可行性进行预测。
The data processing time-consumed by discernibility of matrix is predicted, and the feasibility of data mining experiment is forecasted.
本系列中的下一篇文章将深入探究一些实验性的命令行工具，可以帮助您挖掘更多的您所需要的性能数据。
The next article in the series will dig into some experimental command-line tools that could help you dig out more of the performance data you need.
实验结果表明，该方法在处理混合类型数据时具有良好的挖掘效果。
The experiment result indicates that it has good mining effect in processing the mixing type data.
实验证明了这种算法在科学数据挖掘中是很有效的。
The experiment results show that the algorithm is very efficient in the scientific data mining.
基于均匀设计实验方案以及数据挖掘技术的应用，研究了多种因素对氧化锌晶体合成的影响。
Basis of the application of uniform experimental design as well as data mining technology, the influence of multiple factors on the synthesis of zinc oxide crystals were investigated.
实验结果表明，改进的KFCM算法对软件工程数据的挖掘有很好的聚类效果，且有较高的效率。
Finally, the experimental results illustrate the improved KFCM algorithm can achieve good clustering performance and high efficiency for software engineering data mining.
实验表明，这种数据挖掘是有效的。
实验表明，基于混合遗传算法的分类规则挖掘方法能够从数据集中发现一个简洁、准确、易理解的规则集。
Experiment shows that the classification rule mining method using hybrid genetic algorithms can find a set of the succinct, accurate and comprehensible classification rules.
实验结果表明CFPS聚类算法在数据挖掘中与其它聚类算法相比，CFPS算法提高了聚类精度和效率。
Experimental results show that the CFPS clustering algorithm in data mining, compared with other clustering algorithms, CFPS algorithm improves the clustering accuracy and efficiency.
通过训练数据的分析阐述了分类规则挖掘的方法，初步的实验结果验证了该方法的有效性。
Using the training data, it explains the method of mining classification rules, and abecedarian experiment results validate its effectiveness.
通过以上研究实验表明，利用数据挖掘技术对语音合成中的韵律规则进行提取和学习是可行有效的。
Depending on all above studies and experiments, we can conclude that using data mining distill prosodic rules in speech synthesis is viable.
根据这种现状，本文采用了理论研究、数据实验和实地调研相结合的方法来具体研究我国商业银行的数据挖掘应用问题。
Based on the situation, the article introduces a method combining theory research, data experiment and investigating on the spot to research data mining applying problem in our commercial Banks.
实验结果表明数据挖掘技术在药品疗效研究方面应用十分有利，对临床药品研究具有良好的指导作用。
The experimental result reveals that data mining technology is very useful in research of drug efficacy, and it has a nice guiding role in clinical pharmacies research.
基于均匀设计实验方案以及数据挖掘技术的应用，在数据挖掘成果的指导下进行了实验。
Uniform experimental design and data mining technology were applied, and the synthesis tests were made with reference to the results of data mining technology.
实验证明，该算法在大规模数据的处理上比现有序列模式挖掘算法有更好的性能。
Experiments show great performance gains over existing sequential pattern mining algorithms, especially for large database.
接着，讨论了代理商的信任度计算问题，并从聚类数据挖掘方面对代理商的信任度计算进行了研究和验证，给出了实验结论。
Then the calculation of agent trust degree is discussed, and studied and validated in terms of clustering data mining, and then I make an experimental conclusion.
通过实验验证，在关联规则数据挖掘中采用二进制序列集这一组织数据方法是有效且可行的。
And making an experiment on it, it proves that binary system sequences set is efficient and feasible as an approach of organization data based on mining of association rules.
最后，将该算法应用到股票数据的趋势挖掘中，得到了满意的实验结果。
Finally experimental figures show it has nice performance in stock data min...
第三部分针对某600MW机组一个月的历史运行数据进行模式挖掘算法的数据实验，并分析了不同工况下的挖掘结果。
The third involves data experiment of mining algorithm on historical operating data of a 600mw unit for one month, and analysis of mining results under different conditions.
给出了基于数据库划分的挖掘算法，通过理论推导和实验证明了该方法的有效性。
The mining algorithm based on database partition is put forward, and the validity of the algorithm is proved by theoretical deduction and experiment.
实验证明该算法是有效的，并能求解出信息系统中多组不同的最小约简，为决策支持和数据挖掘等提供更多信息。
Experimental results show the algorithm is effective. It can find different reductions of attribute in the information system and provide more information for decision support and data mining.
讨论了用数据挖掘中的关联规则对IDS审计数据进行分析，给出了一种改进的OPUS算法，并对实验结果进行分析。
This paper discusses how to make use of association rules in IDS audit data analysis. With an improved OPUS algorithm, some tests are done.
实验结果显示了基于群体智能的离群数据挖掘算法的有效性。
Results show that the validity of outlier mining algorithm based on swarm intelligence.
实验结果显示了基于群体智能的离群数据挖掘算法的有效性。
Results show that the validity of outlier mining algorithm based on swarm intelligence.
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