1、

along with the popularization and rapid development of the internet technology, the number of users and the category of resources increased gradually, which caused the internet information overload problems, recommend system can handle the problem effectively through fetching user behavior data.

随着互联网技术的广泛普及和迅速发展,用户数量和资源种类不断增加,网上出现信息过载问题,推荐系统通过获取用户行为数据可以有效处理信息过载问题。

互联网摘选

2、

how to prevent the data privacy of the tenants from being disclosed is an urgent problem of the saas model. first, this paper introduces the concept of saas model.

如何防止租户的数据隐私泄露,不被服务运营商非法使用,是SaaS模式亟待解决的问题。本文首先介绍了SaaS模式的相关概念。

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3、

data privacy is a key problem.

其中,数据隐私保护是首要问题。

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4、

this paper presents an inconsistent problem on multi-resources data merging.

提出了在多源空间数据融合过程中出现不一致的问题;

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5、

you will most likely end up with a problem that results in inconsistent data and poor data integrity.

您很可能会遇到问题,导致不一致的数据和糟糕的数据完整性。

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6、

the latest problem is a device in the interceptor missile used only in tests that is designed to gather all its telemetry data.

此次出现问题的设备是用于收集试验拦截导弹所有遥感勘测数据的。

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7、

The practice proves that the transformation model based on BOM can settle successfully the problem of data non-coherence. The information exchange and share of PDM and ERP is realized, and this system can be useful and worthy for the integration of application systems in enterprises.

实践证明,本文提出的基于BOM的集成过程模型较好的解决了多视图BOM出现的数据不一致的情况,实现了PDM和ERP的信息交换和共享,对企业应用系统的集成具有一定的实用价值。

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8、

this paper explores the analysis method of lci data quality system to find the problem.

本论文是对LCI数据质量体系中的分析方法的一次探索性研究,旨在发现其中的问题。

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9、

fortunately, there are solutions to this problem that ensure consistent interpretation of data by both endpoints.

幸好,有解决这个问题的方案,能够保证两端数据的一致解释。

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10、

in order to solve the problem of handling large data slow brought by cloud display algorithm, this paper proposed interpolation function based on opengl automatic cloud of ultra fast display of large-scale data algorithm, which improves the accuracy of contour display and display speed effectively.

然后介绍了后处理的关键技术,针对云图显示算法在处理大规模数据偏慢的缺点,提出了基于OpenGL自动插值功能的超大规模数据云图快速显示算法,有效地改进了云图显示精度和显示速度。

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11、

according to these, the 3d data calculation is discussed for recognized fitted curve, and the problem of sampling and numerical calculation method is solved.

并在此基础上对识别后的拟合曲线进行3D数据的计算讨论,解决了取样及数值计算的算法问题。

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12、

in order to improve communication efficiency and shorten channel occupation time, it is necessary to preprocess the recorded data. this paper solved the problem by adopting huffman self-adapting compress algorithm.

由于录波数据量大,传送时间较长,为了提高通讯效率,缩短信道占用时间,论文中采用HUFFMAN自适应压缩算法,较好地解决了这个问题。

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13、

aiming at the sifting range problem in emd, it was proposed that not all the data can be well sifted and there was range of sifting.

针对HHT方法中的EMD筛分问题,本文通过大量的数据研究总结了并不是所有的数据都可以正确筛分,试验研究表明存在一个可筛分的数据区域边界。

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14、

for the web based information systems which include more than one subsystem, component technique is applied to solving the integrity problem of code data.

对于由多个子应用系统组成的Web信息系统,使用组件技术解决其代码数据的一致性问题。

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15、

the problem that thread can't be serialized and load dynamically is solved by separating the code and data from cpu time distribution.

通过分离管理线程所执行的代码、数据以及CPU时间分配的方法解决了线程无法动态上载的问题。

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16、

in this paper, we propose a scheme to solve the problem of outlier data patterns that the value of outlier data pattern is deleted first and then is predicted by the model of genetic algorithm and neural network.

对于数据集中的异常样本值,本文提出了一种解决方案:先删除异常的属性值,然后再用遗传BP神经网络模型进行预测填补,通过实验证明这种方案的可行性。

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17、

the surface of contact between meshed teeth is replaced by the line of contact and hence the nonlinear contact problem is simplified as a linear contact problem, however in order to reduce amount of data-preparing and calculating time.

为了减少数据准备及计算工作量,用接触线代替了啮合齿间的接触面,把非线性接触问题简化为线性接触问题。

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18、

similarity search is a very important problem in data mining.

相似性搜索是数据挖掘的主要领域之一。

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19、

Based on this theory, this study focuses on the cognitive neural mechanisms of the search and application of heuristic operator and information processing process during problem-solving process, and proposes the fMRI data analysis methods based on classification and clustering.

依据该理论,针对问题解决过程中启发式算子搜索与运用的认知神经机制和信息加工过程进行了系统的研究,并提出了基于分类与聚类的fMRI数据分析方法。

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20、

using the gene expression data, the experimental result has confirmed the validity and feasibility of this method. secondly, because kernel fuzzy clustering algorithm is easy to overlook the problem of outlier genes, one kind of outlier kernel fuzzy cluster algorithm is produced.

利用基因表达数据进行测试,实验结果验证了该方法的有效性和可行性。其次,针对模糊核聚类算法容易忽略含有重要信息的离群基因的问题,提出了一种离群模糊核聚类算法。

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