• 推算预知分辨矩阵处理数据所消耗时间,数据挖掘实验可行性进行预测。

    The data processing time-consumed by discernibility of matrix is predicted, and the feasibility of data mining experiment is forecasted.

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  • 系列中的下一篇文章深入探究一些实验命令行工具可以帮助挖掘更多的您所需要性能数据

    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.

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  • 实验结果表明,该方法处理混合类型数据具有良好挖掘效果

    The experiment result indicates that it has good mining effect in processing the mixing type data.

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  • 基于均匀设计实验方案以及数据挖掘技术应用研究多种因素氧化锌晶体合成影响

    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.

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  • 实验结果表明改进KFCM算法软件工程数据挖掘很好的聚类效果,且有较高效率

    Finally, the experimental results illustrate the improved KFCM algorithm can achieve good clustering performance and high efficiency for software engineering data mining.

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  • 实验表明基于混合遗传算法分类规则挖掘方法能够数据集中发现一个简洁、准确易理解规则

    Experiment shows that the classification rule mining method using hybrid genetic algorithms can find a set of the succinct, accurate and comprehensible classification rules.

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  • 实验结果表明CFPS算法数据挖掘其它聚类算法相比,CFPS算法提高了聚类精度效率

    Experimental results show that the CFPS clustering algorithm in data mining, compared with other clustering algorithms, CFPS algorithm improves the clustering accuracy and efficiency.

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  • 通过训练数据分析阐述了分类规则挖掘方法初步实验结果验证了方法的有效性

    Using the training data, it explains the method of mining classification rules, and abecedarian experiment results validate its effectiveness.

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  • 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学习可行有效的。

    Depending on all above studies and experiments, we can conclude that using data mining distill prosodic rules in speech synthesis is viable.

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  • 根据这种现状本文采用理论研究数据实验实地调研相结合方法具体研究我国商业银行数据挖掘应用问题

    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.

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  • 实验结果表明数据挖掘技术药品疗效研究方面应用十分有利临床药品研究具有良好指导作用

    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.

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  • 基于均匀设计实验方案以及数据挖掘技术应用,在数据挖掘成果指导下进行了实验

    Uniform experimental design and data mining technology were applied, and the synthesis tests were made with reference to the results of data mining technology.

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  • 实验证明,该算法大规模数据的处理上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.

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  • 接着讨论代理商信任度计算问题,聚类数据挖掘方面代理商的信任度计算进行了研究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.

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  • 通过实验验证关联规则数据挖掘采用二进制序列组织数据方法有效可行

    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.

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  • 第三部分针对某600MW机组历史运行数据进行模式挖掘算法数据实验分析不同工况挖掘结果。

    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.

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  • 给出基于数据划分挖掘算法通过理论推导实验证明了方法有效性

    The mining algorithm based on database partition is put forward, and the validity of the algorithm is proved by theoretical deduction and experiment.

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  • 实验证明算法有效的,求解出信息系统不同的最小简,决策支持数据挖掘提供更多信息。

    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.

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  • 讨论数据挖掘中的关联规则IDS审计数据进行分析,给出一种改进OPUS算法,并实验结果进行分析。

    This paper discusses how to make use of association rules in IDS audit data analysis. With an improved OPUS algorithm, some tests are done.

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  • 实验结果显示基于群体智能离群数据挖掘算法有效性

    Results show that the validity of outlier mining algorithm based on swarm intelligence.

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  • 实验结果显示基于群体智能离群数据挖掘算法有效性

    Results show that the validity of outlier mining algorithm based on swarm intelligence.

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