An investigation into the incident has found the devices appeared to have provided inconsistent data to the pilots. 对这一空难进行的调查发现,这一设备似乎给飞行员提供了前后不一致的数据。
This operational information will be very helpful to debug problems later, such as inconsistent data or ETL job failure. 这些操作信息对于调试问题非常有帮助,比如数据不一致或ETL作业失败。
If the updateAcct() method should fail for any reason, the trade order would remain in the TRADE table at the end of the placeTrade() method, resulting in inconsistent data in the database. 如果updateAcct()方法由于任意原因失败,交易订单仍然会在placeTrade()方法结束时保存在TRADE表内,这会导致数据库出现不一致的数据。
Should the update to the ACCT table fail, there would be no mechanism to roll back the insert to the TRADE table, resulting in inconsistent data in the database. 若ACCT表更新失败,没有任何机制可以回滚到对TRADE表的更新操作,从而造成数据库中的数据不一致。
Moreover, there are many services that do not have concurrency control at all, which may also lead to inconsistent data. 此外,有许多不具备并发控制的服务,这也可能导致不一致的数据。
It's hard to program safely; programs that manipulate threads are prone to inconsistent data, deadlocks, unscalable locking, and inverted priorities. 要用线程安全地编写程序是很难的;需要操纵线程的程序很容易引起不一致的数据、死锁、不可伸缩的锁定以及倒置的优先级等问题。
The current version of Walrus offers inconsistent data and no object locking. Walrus现有版本不提供一致数据和对象锁定。
If a database failure occurs, the transaction manager reports the possibility of inconsistent data from failed transactions. 如果发生数据库故障,则事务管理器将报告故障事务导致的不一致数据的可能性。
It simply won't work, and you'll end up with inconsistent data in your database and an overly complex design. 这是不会起作用的,并且会造成数据库中的数据不一致,以及过度复杂的设计。
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。
Ari said that Ehcache can serve as a local cache that the developers can use to boost the performance of single node or multi-node applications where inconsistent data in the cache is acceptable. Ari说Ehcache可以作为本地缓存,开发者可以使用其提升单结点或多结点应用的性能(在这种情况下,缓存中的数据不一致性是可以接受的)。
Uncertain data as incorrect data, inconsistent data, imprecise data bring challenges to effective query processing on extensible markup language ( XML). XML数据中的不正确数据、不一致数据、不精确数据等劣质数据给XML数据上的有效查询处理带来了挑战。
Filling missing values, smoothing noise data and removing inconsistent data were all adopted to get high quality data. 通过补全缺失数据、平滑噪声数据、消除不一致数据等技术,得到高质量的数据。
The algorithm takes a simple and efficient method to deal with inconsistent data, which is highly merged with decision tree algorithm, hence it can deal with both consistent and inconsistent data efficiently. 采取了一种与决策树算法高度融合的简单有效的检测和处理不相容数据的方法,从而使算法对相容和不相容数据都能进行有效处理。
Knowledge acquisition is the main topic of knowledge engineering. Based on the analysis of the information system, the paper has pointed out an incremental algorithm for learning certain rules from inconsistent data in the rough set environments. 知识获取是知识工程的主要课题,本文在分析信息系统的基础上,在粗糙集环境下,指出了一种适应非一致性数据的自增长必然规则学习算法。
Adding these methods into ID3 makes the algorithm be able to deal with both consistent and inconsistent data properly. 将这些方法结合进ID3算法,使算法对相容和不相容数据均可进行有效地处理。
While providing strict syntactic constraints, the related XML specifications provide little semantic content, and lack the ability of constraint expression. It results in the redundant and inconsistent data. XML相关规范提供了严格的语法限制,相反对语义限制提供得很少,缺乏约束表达能力,导致实例文档会出现数据冗余和不一致问题。
Based on the controlling theory of concurrent accessing, the article analyses the reasons of inconsistent data in Distributed Database caused by concurrent accessing and studies the idiographic realizing way of accomplishing concurrency control in multi-environment. 基于并发访问控制理论,并结合实际例子分析了分布式数据库系统中并发访问引起数据不一致的原因,研究了在多种环境下完成并发控制的具体实现途径。
This paper expounds the preprocessing technology for data integration and its necessity, and discusses on the methods of cleaning up the incomplete data, noise data and inconsistent data. 阐述了数据集成的预处理技术及必要性,讨论了不完整数据、含噪声数据、不一致数据的清理方法。
However, as well known, there are many issues in databases, such as redundant data, missing data, uncertain data, inconsistent data, and so on, they are the barriers to knowledge discovery. 然而,众所周知,数据库中往往存在冗余数据、缺失数据、不确定数据和不一致数据等诸多情况,这些数据成了发现知识的一大障碍。
At present, the common integration methods of distribution GIS system and distribution SCADA have problems of inconsistent data model, different graphic formats and separation of interface. These problems are not good for the integration and data sharing of different management systems in power system. 目前普遍采用的配电GIS系统与配电SCADA系统的集成方式中存在数据模型、图形格式不一致、界面分离等问题,不利于电力企业的应用集成和信息共享。
In the era of economic development, internal data of all walks of life presents exponential growth, but these data exists in inconsistent data structure, data redundancy, incomplete and so on. Therefore these data cannot be integrated into a unified data platform. 在经济发展的时代,各行各业内部的数据呈现指数形式的增长,但是这些数据存在数据结构不一致、数据冗余、数据不完整等特征,因此仍然无法集成为一个统一的数据平台。
In order to process qualitative and quantitative values of data source criteria, fuzzy multi-attribute decision making method is introduced to solve inconsistent data. And the experimental results show that our solution has good effectiveness. 为了能够处理定性的指标值,使用模糊多属性决策方法来解决查询结果中的不一致数据。并基于实验进行验证,得到了良好的实验结果。
This theory analyzes and processes the inaccurate, imperfection and inconsistent data effectively, discovers hidden knowledge, reveals potential rules and reduces knowledge without any additional information or transcendental knowledge. 该理论不需要任何附加的信息或先验知识,就能有效地分析和处理不精确、不完整和不一致的数据,并从中发现隐含的知识,揭示潜在的规律,并进行知识的约简。
Data mining could find useful information from lots of noisy, half-baked or inconsistent data sets. 数据挖掘就是从大量有噪声、不完整、甚至是不一致数据集中发现有意义的模式知识。
According to the value of perfect information, all the candidate inconsistent data sets are ordered to obtain the most benefit for the system. 根据计算得出的完美信息价值对所有待评估的不一致数据集进行排序,使专家的评估可以最大化系统收益。
All these imply that there are no sufficient data applications mainly in the application system. Incomplete data sharing, inconsistent data retention period and inconvenient data query still exists in its development. 主要体现在各应用系统中的数据应用不充分,数据共享不完全,数据保存期不一致,数据查询不方便,缺乏一对一的营销建议、营销效率低,营销评估不到位等问题。
But among the data, inconsistent data usually exist, and they are separated, isolated as well as different in type. Even, it is hard to access or manage these data. They are also not used for users to make decision. 在大量的数据当中,数据冗余和数据不一致现象普遍存在,它们分散、孤立的存在于各个系统中,而且这些数据也越来越难访问、管理和用于决策支持。
Rough set theory is an efficient machine learning tool which deals with imprecise, incomplete and inconsistent data. 粗糙集是处理不精确、不完备、不一致数据的有效机器学习方法。
This system adopts approximate object-oriented data schema management method to describe and integrate data. Based on utility function and fuzzy multi-attribute group decision making method, inconsistent data are solved in this system. 世博数据集成子系统采用近似面向对象的数据模式管理方法对系统内数据进行描述和集成,并基于效用函数和模糊多属性群决策的方法对不一致数据进行解决。