清理 put in order; clean; disentangle; check up; clear; sort out; liquidate 清理仓库 take stock; make an inventory of warehouse stocks; 清理档案 put the archives in order; sort out documents; 清理积案 clear the docket; 清理物资 check up on equipment and materials; 清理破产企业, 重新经营 liquidate business and start fresh; 清理逾期票据 clean up past-due bills; 清理一下乱七八糟的东西 clear up the mess; 停业清理 go into liquidation; 停业清理大拍卖 a liquidation sale; 市场清理 market clearing; 把家底清理清理。 let's take stock of what we have got
Research result shows that incorrectness data cleaning method based on outlier detection can detect incorrectness data of data source effectively 研究表明:基于孤立点检测的错误数据清理方法能有效地检测数据源中的错误数据。
If the reference table is static , the package can avoid the potentially expensive process of rebuilding the index for repeat sessions of data cleaning 如果引用表是静态的,对于数据清理的重复会话,包可以避免开销可能很大的重新生成索引的过程。
The transformation may lock the reference table for the duration of the data cleaning operation and prevent other users and applications from accessing the table ) ,则转换可以在执行数据清理操作的过程中锁定引用表,以防止其他用户和应用程序访问该表。
The fuzzy grouping transformation performs data cleaning tasks by identifying rows of data that are likely to be duplicates and selecting a canonical row of data to use in standardizing the data 模糊分组转换执行数据清理任务,它首先查找可能重复的数据行,然后选择要在对数据进行标准化的过程中使用的规范数据行。
This paper did many study works , such as get data , data transform , conformity data and straighten out data , ensure the correctness , consistency , integrality and dependability of the data 论文做了大量的研究工作,如数据的获得、数据转换、数据整合及数据清理,从数据源上保证数据的正确性、一致性、完整性和可靠性。
Data cleaning is efficient technology to improve the data quality and is well known in the area of decision support systems and data warehouses . however , there are still many inadequance in terms of practice 数据清理是一种有效的改进数据质量的方法,被广泛运用于决策支持系统和数据仓库系统,但在实际运用中仍有较多的不足。
Aiming at incorrectness data appeared in data source , the importance of outlier detection method in data cleaning is analyzed , and an incorrectness data cleaning method based on outlier detection is proposed 摘要针对数据源中出现的错误数据,分析了孤立点检测方法在数据清理中的重要性,提出了一种基于孤立点检测的错误数据清理方法。
Secondly , aiming at the characteristics of e - business , this paper studied the data cleaning step of data pre - processing and proposed new method of data cleaning which can improve the efficiency of association rule mining algorithm 本文针对电子商务环境的特点,研究了数据准备中的数据清理步骤,提出了新的可以提高挖掘效率的清理方法。
For there is much data to deal with in data cleaning program , so using machine learning technology during the exception correction and the further research on the relation between clustering and incremental mode is the direction of the future work 由于数据清理所要处理的数据量非常大,在纠正异常时引进机器学习技术以及对聚类方法与增量执行模式之间关系的进一步研究是未来工作的重点。
Because the current business process system contain various data source in tax administration system , this thesis comprehensively gives to the strategy of realizing concerning to data cleaning , integration , transformation and data load in data preprocessing 由于在税务系统当前的业务处理系统有多种数据源,本文重点给出了实现数据预处理中的数据清理、集成、转换和数据装载的相应策略。