重复数据 meaning in English
repeating data
Examples
- Report items that contain repeated rows of data for example , tables will expand to accommodate the data that is returned by a query , and this affects the positioning of other items in the rectangle
包含重复数据行的报表项（例如表）将扩展以容纳查询返回的数据，这会影响其他报表项在矩形中的定位。 - Any use in connection with the shipping related systems of automated inquiry devices , robots , or repetitive data - gathering and extraction tools , routines , scripts or other mechanisms with similar functionality is expressly prohibited
使用与运输相关系统有关的任何自动问询设施、机器人或重复数据收集及提取工具、路径、脚本或其它具有类似功能的机制，均予以明示禁止。 - Any use in connection with the despatch - related systems of automated inquiry devices , robots , or repetitive data - gathering and extraction tools , routines , scripts or other mechanisms with similar functionality , is expressly prohibited
使用与运输相关系统有关的任何自动问询设施、机器人或重复数据收集及提取工具、程序、脚本或其它具有类似功能的机制，均予以明示禁止。 - Then the thesis further analyses some core techniques including the system of database , data warehouse and data mining and so on , and presents the frame of function of bank crm . the thesis puts its emphasis on the research on the data preprocessing of data warehouse , data copying , data cleansing , data integration and quality verifying included . finally the thesis discusses the key technology of data warehouse in bank crm - the cleansing of data of customers , and presents some methods of cleansing aiming at noisy values , missing values , conflicting values and duplicated values
本文在充分分析银行crm的需求的基础上，提出了基于数据仓库的银行crm系统的体系结构，并进一步分析了该体系结构中客户数据库系统、数据仓库、数据挖掘等核心技术组件的内涵，给出了银行crm系统的功能构架；重点研究了银行业务系统多年积累的客户数据向数据仓库迁移的预处理方法和过程，其过程包括数据复制、数据清洗转换、数据集成、质量检验和数据装载；最后讨论了银行crm系统应用数据仓库的关键技术：客户数据清洗，给出了针对噪声数据、空缺数据、不一致数据和重复数据的清洗方法。 - 5 . data preparation is essential procedure before data mining , and the thesis presents two algorithms for the filling of missing values and the finding of duplicates , two of data problems in data preparation . at first , the thesis uses of rough analysis to predict the missing values with known values to solve the problem of missing values , and the results are with higher accuracy ; then the thesis uses partition data table and quick sort method to find duplicates , which can decrease the searching time for finding
数据预处理是数据挖掘之前的必要准备步骤，针对数据预处理问题中的缺失数据与重复数据的挖掘问题提出两种算法，首先针对缺失数据问题，浙江大学博士学位论文利用rough集理论通过对己知数据进行预测实现对缺失数据的填补，达到了一定的预测精度;然后针对重复数据问题，利用数据表分解技术以及快速排序方法实现重复数据的发现，并降低了重复数据的发现时间。