本文的目的是成为一个良好的起点，用以处理任何给定安装环境下的数据库性能问题。
This article is intended to be a good starting point for addressing database performance at any given installation.
针对大数据环境下的个人信息安全保护问题，马化腾提出四项建议，包括。
For the protection of personal information security in the big data environment, ma Huateng made four recommendations, including.
文章介绍了ASP技术及ASP与ADO结合起来连接、访问数据库的方法，讨论了ASP环境下电子商务网站的设计及实现问题。
This paper analyses the ASP techniques, the method of connecting and accessing database with ASP and ADO, it discusses the design and realization of E-commerce web site in ASP.
元数据服务是研究网格环境下数据库系统集成和访问技术所面临的关键问题之一。
Metadata service is one of the critical issues in the research of the database access and integration on the Grid.
收集了世界上不同地理环境下的37个工程实例的具体参数和使用状况，使用这些数据对该问题进行研究。
Concrete samples of 37 project instances and service condition under different geographic environment in the world are collected and these data is used in our research.
以加速寿命方程作为应力模型，解决利用不同环境应力下可靠性增长试验数据，求试验结束时设备可靠度的置信下限问题。
In this paper, we analyze reliability growth data from different stress environments. We adopt the accelerated life equations as the stress model and obtain the confidence of the reliability.
该系统还利用了数据库自身的事务处理与并发控制功能，解决了在多用户网络环境下的数据完整性和可靠性问题。
By applying carefully the database functions of transaction handling and concurrent access, the platform guarantees data reliability and data integrity in multi user network environment.
构建了基于ISODATA算法的有限记忆关联模型，利用有限步的历史航迹状态数据，有效地解决了目标密集环境下的误关联问题。
To solve the problem of false association in the presence of multiple targets, historical track data are utilized, and a limited memory association model with ISODATA algorithm is built.
分析和实验表明，该算法适合于海量数据查询并能有效地解决机群并行环境下数据偏斜所造成的查询性能低下的问题。
The analysis and experiment results show that this algorithm effectively resolves the data skew problem in Computer Cluster. It can be fit for searching in the massive data.
数据隐私问题引起人们的广泛关注，如何在分布式数据库的环境下挖掘关联规则成为研究的热点。
With the growing concern over data privacy-preserving problem, how to discover association rules from distributed databases becomes one of the hot topics of this field.
同时，详细讨论了实时环境下分布式数据管理遇到的数据分页，数据的更新和维护，结点恢复等典型问题。
At the same time, author discusses mainly data pagination, data updating and maintenance, nodes recovery of distributed data management in a naval command and control system.
为解决特定的问题，一种或多种算法需要被选择应用，且要在适于挖掘的数据环境下实施挖掘任务。
One or more arithmetic have to been used for solving a problem. To actualize a data mining assignment should have appropriate data condition.
针对分布式环境下的数据分发和管理问题，以智能卡与口令作为身份认证与密钥交换的基础，设计一个分布式数据传输安全模型。
To solve the problem of data distribution and management in the distributed environment, this paper proposes a secure communication model based on smart card and password authentication.
本文集中探讨了在OLTP环境下闪存数据库的缓冲区管理的问题。
In this paper, we focuses on the buffer management of flash database in OLTP application environment.
概率数据互联(JPDA)算法能很好地解决密集环境下的多目标跟踪问题。
Joint Probabilistic Data Association (JPDA) algorithm can resolve the problem of tracking targets in clutter.
为此，笔者分析了建设期刊数据库的必要性及难度，论述了网络环境下建设期刊数据库的方法与途径、应注意的问题及重要意义。
Therefore, the author of this paper has analyzed the indispensability and difficulties that may arise in building a periodicals database, and discussed the approaches and methods as well as the...
在一定的软硬件环境下，问题的解决取决于场景数据结构与定义在其上的算法的优化。
In a certain software and hardware environment, the solution of the problem depends on the optimizing of scene data structure and the arithmetic, which is defined on scene data structure.
针对数据量庞大、复杂的三维数据场环境下航路规划速度偏低的问题，提出一种基于统一计算设备架构(CUDA)的三维数据场航路规划方法。
Aiming at the low rate of route planning due to huge, complex 3d data, this paper proposes a 3d data field route planning based on Compute Unified Device Architecture (CUDA).
最后，针对基于大数据环境下的信息安全和信息人才短缺等问题进行了探讨，并提出了相关的解决方案。
Finally, some problems including information security and talent shortage were discussed in the big data environment, and some solutions for them were also proposed.
最后，针对基于大数据环境下的信息安全和信息人才短缺等问题进行了探讨，并提出了相关的解决方案。
Finally, some problems including information security and talent shortage were discussed in the big data environment, and some solutions for them were also proposed.
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