与向量空间模型相比，该模型的检索速度明显提高。
Comparing with the traditional vector space model, this new model is faster for information retrieval.
将来自nagios的信息存储到数据库能加快检索速度。
Storing information from Nagios in a database will allow for quicker retrieval.
实验结果表明，该方法提高了案例的检索速度和参考价值。
Experiments show that this method improves the case retrieval speed and reference value.
经验证该算法具有更高的收敛速度，实例检索速度大大提高。
This algorithm has higher convergence rate in the experimental test so that case indexing is more efficient.
另外为提高了图像的检索速度，采用K均值聚类索引建立数据库。
To improve the speed of image search, K-means Clustering is used to create the image database.
分段和PD Q优先级也对于数据的检索速度有极大的影响，并有助于表扫描。
Fragmentation and PDQ priority also have a huge effect on the speed of data retrieval and will help table scans.
这么做的好处是减小了索引的尺寸，从理论上来说，这会提升数据的检索速度。
The advantage achieved is reduced index size which, in theory, provides faster retrieval rates for data.
采取智能化数据保存策略减少了数据存储量，提高了数据检索速度。
And the intelligent data storage ways were given, it can reduce the data access amount, and increase the search speed.
检索性能主要包括查全率、查准率、检索速度、费用与方便性等指标。
Retrieval performance includes evaluation of recall ratio, precision ratio, speed of retrieval, cost and convemence etc.
通过作者的应用表明，采用CAM可极大地提高数据检索速度，增强系统可靠性。
It is prove that CAM can rapidly increase speed of DATA search, and can enhance the reliability of system.
应用该方法可以大大提高检索速度，为条件组合的快速工作开辟了一条有效的新途径。
The speed of applying this technique will increase more greatly than that of general search. It opens up an efficient new approach to the fast work of the combination of the conditions.
提出了快速小波熵的图像检索技术以减少小波直方图技术的计算复杂性并提高了检索速度。
The fast wavelet entropy technique for image indexing to reduce the complexity of the wavelet histogram method is suggested which can improve the retrieval performance.
本文基于MPI并行计算平台设计并实现了文本案例检索算法的并行化，提高了检索速度。
The parallel computing is realized based on MPI parallel computing platform, and increased speed of retrieval. 5 The implementation of textual case retrieval system.
实验结果表明：后者具有较高的检索率、较快的检索速度和较少的特征向量数据库存储空间。
Experimental results show that the latter one has advantages on retrieval rates, retrieval speed and storage room for feature vectors.
针对测井数据处理系统中交互数据检索速度慢等一系列问题，提出一个专用分布式并行模型。
In order to deal with the problems including slow interactive data retrieval and so on, a special distributed and parallel model was given for logging data processing systems.
图片分类可用作图像搜索引擎的预滤波，以降低图像检索时的图像匹配数量，提高检索速度。
The image classification can be used as a pre-filter of the image search engine to reduce the amount of image matching, and speed up the image index processing.
该模型通过分布式并行技术提高数据检索速度，通过定点同步的方法保证了多用户数据一致性。
The model accelerates retrieval processes by distributed and parallel technologies, utilizes one-node synchronization methods to sure multi-user data consistency.
实验结果表明，该方法能够快速甄别边界像元和邻域像元，比同类算法拥有更高的空间影像检索速度。
The results show that the method can distinguish boundary image-element and neighborhood image-element rapidly, and has a higher rate than other similar algorithms.
如何改善检索系统的结构，提高检索系统的性能和效率，以加快检索速度，成为一个值得研究的课题。
How to improve the retrieval system structure to promote its performance and efficiency of speed has become a question of discussion.
测试结果表明，三种检索技术具有比较理想的检索效果，同时检索速度比较快，最大检索时间不超过0.4秒。
The experiment result proves these three retrieval methods have a good retrieval result and fast retrieval speed, which is low 0.4 second.
该算法将聚类方法和KNN算法的优点结合起来，从而达到缩减了训练样本数量，减少了算法计算量，加快检索速度的目的。
This algorithm combine advantages of KNN and Clustering, decreasing training samples and quantity of algorithm calculating, and increasing the speed of retrieval.
计算机科学里，例如当我们在一个数据库中做搜索等操作，在更加明智的数据结构以及索引构建方法下，检索速度会呈指数增快。
In computer science, operations such as searching a collection of data can proceed exponentially faster if the collection is structured and indexed intelligently.
它的默认值是 Integer.MAX_VALUE，将这个参数设置为比较大的值可以提高索引效率和检索速度，由于该参数的默认值是整型的最大值，所以我们一般不需要改动这个参数。
The default value is Integer.MAX_VALUE. Large values are better for batched indexing and speedier searches.
这可提高检索数据的速度。
相关子查询将极大地降低数据检索的速度，对于拥有几百万个行但没有索引的大型表的非选择性查询更是如此。
Correlated subqueries will greatly degrade the speed of data retrieval, especially for non-selective queries on huge tables with millions of rows and with no index.
当它不再需要检索到的SOA 时，将从库中释放自己，当提高速度及性能时节省磁盘空间。
When it does not need the retrieved SOA any more, it releases itself from the repository, saving disk space while increasing speed and performance.
这种模型的好处是可以显著改进内容检索的速度，使用户能够快速高效地获得大量内容条目。
The benefit that from this model is a dramatic speed improvement on content retrieval, which allows the user to get a large number of content items quickly and efficiently.
由于创建全文本索引需要提取文本信息，因而需要从磁带上检索很多对象，这个过程是十分缓慢的，大大影响了创建全文本索引的速度。
Since full-text indexing requires extracting the text information, many object went through a painfully slow retrieval from tape, impacting the speed of full-text indexing.
因此索引加快了检索过程的速度，但减慢了修改的速度。
So, indexes speed the process of retrieval but slow down modification.
这会使用户感觉到性能大大提升，因为数据的检索和处理速度变得更快。
This results in a perceived performance boost because data can be retrieved and processed faster.
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