查询词典 data information

Use of the database, the data centralized control and management, and data model that the organization of various data and data linkages.

利用数据库可对数据进行集中控制和管理，并通过数据模型表示各种数据的组织以及数据间的联系。

The database structure of "Management Analysis System of the Union Company in Henan" is listed to instruct the position of ODS layer which is used to data conversion, data cleanout, up to data warehouse and down to every data source.

并通过给出"河南联通经营分析系统"数据仓库的数据库结构图详细说明了ODS层在整个数据仓库中数据转换、清洗中心，及上承数据仓库、下启各种数据来源的作用和地位。

When first data to be displayed on a first display is mixed with second data to be displayed on a second display in the received data, the second data is sandwiched between the identification codes, and a collator discriminates the identification codes.

当在接收数据中，显示在第一显示屏上的第一数据与显示在第二显示屏上的第二数据混合时，第二数据夹在识别代码之间，比较装置区别识别代码。

In this research, the SOLO (Structure of the Observed Learning Outcome) Taxonomy presented by Australian scholars Biggs and Collis (1982) was adopted, and students studying the fifth and sixth grades in Taipei area were chosen as research targets.This study was primarily implemented with a quantitative analysis and supported by a qualitative analysis. In order to carry out the research, a questionnaire had been designed with criteria suggested by Jones et al.(2000), including "describing data","organizing and reducing data","representing data" and "analyzing and interpreting data." This questionnaire consisted of open-ended questions, and after analyzed with qualitative methods, the responses were classified and scored based on standards set in SOLO Taxonomy. Then the quantitative method "Partial Credit Analysis" from Rasch model was adopted in examining the reliability, validity and consistency of outcomes from the qualitative analysis.

提出的统计思维架构－「描述资料」、「组织及简化资料」、「呈现资料」、「分析资料」作为评量试题的向度，题型为开放性问答题，在区分学童的答题表现方面，采用质的分析，参照SOLO（Structure of the Observed Learning Outcome）分类法的分类标准，将学童不同的答题反应进行分类，给予不同的分数，最后再采用Rasch model中的部份给分模式进行量化分析，以量化数据佐证质性分析的信度与效度，以及不同给分的吻合度。

However, due to the immense data, heterostructure and multiplicity of data types, complicated data structures in databases are available in the real world, those have made association rule mining face a lot of challenges, therefore, the complete concept lattice model is introduced to the study of association rule mining in the dissertation, and some studies are made on concept lattice model, algorithms, and data reduction etc.

然而，由于现实世界数据的海量、异构和数据类型的多样性、结构的复杂性等特点，对关联规则挖掘的研究提出了新的课题。本文将具有完备特性的概念格模型引入到关联规则挖掘的研究，针对关联规则挖掘的模型、方法以及数据归约等方面开展了研究，主要内容及创新工作如下：1。

The quare author association turn on goes into the request of the library of quinonoid formula, vs the MS SQL Server2000 data base management system, SQL language element, the VB application program design, the VB data nbank technique steered the more thorough study and appliances, cardinal terminate to manage the demand analysis of the system to the book, the function shuttering cake curtate, the data nbank modal analysis, and designed the data nbank structure and application programs thereof.

因此本人结合开入式图书馆的要求，对MS SQL Server2000数据库管理系统、SQL语言原理、VB应用程序设计，VB数据库技术进行了较深入的学习和应用，主要完成对图书管理系统的需求分析、功能模块划分、数据库模式分析，并由此设计了数据库结构和应用程序。

Because the data from CCTV belong to the "personal data," as specified in Computer-processed Data Protection Act, the regulations mentioned above are not adequate for the needs to protect the "personal data."

由於监视器所摄得之个人影像属於电脑处理个人资料保护法之「个人资料」，故上开规范均不足因应「个人资料」保护之需要。

Firstly, a probability computing model is constructed to present system call sequences and the SCSFA algorithm is designed to predict the attempt of intrusion and to determine what need to protect, which is based on the analysis of system call sequence in virtual computing systems; Secondly, the sensitive data protected are divided into a number of film data, and for the goals of random errors tolerance, each tablet data are redundant backup based on Byzantine fault tolerance; Then, the redundant data are distributed to different virtual machines.

设计SCSFA算法分析虚拟计算环境的系统调用行为序列，以识别虚拟计算环境下的入侵企图，预测敏感数据的高危区域；其次，将要保护的数据划分成若干片数据，并以容忍虚拟计算环境随机错误为目标对每个片数据冗余备份；然后将冗余片数据分散到不同虚拟机上。

The patient's objective or subjective data includes one or more of the following: blood pressure, pulse rate, temperature, weight, electrocardiogram, electroencephalogram, brain wave, breathing pattern, biochemical measurements, serum glucose, blood gasses, physiologic data, non-physiologic data, exercise or activity measures, presence or absence measures, or any function of objective or subjective data measurable or deducible regarding the patient.

患者的客观或主观数据包括以下的一个或多个：血压、脉搏、体温、体重、心电图、脑电图、脑电波、呼吸型、生化测量、血清葡萄糖、血液气体、生理数据、非生理数据、锻炼或活动测量、存在或缺少测量、或关于患者的可测量或可推断的客观或主观数据的任何函数。

The dissertationsummarizes,analyses and studies the current status of the data mining technique inour native country and overseas widely and roundly and then summarizes anddiscusses its developmental trends and hot research fields. The definiens andorientation of the data mining is reviewed in brief first. Based on the basic conceptsof data mining,this dissertation classifies and summarizes the objects of data miningand the common techniques in detail.

对数据挖掘技术的国内外研究现状进行了广泛而全面地归纳、分析和研究，对数据挖掘技术的未来发展趋势和热点研究领域进行了总结和探讨，对数据挖掘的定义及定位进行了简要的回顾，在数据挖掘基本概念的基础上，对数据挖掘常使用的技术和研究的对象进行了详细地分类、归纳和总结。

Metrorrhagia is also gynaecological problems of common diseases.

崩漏是妇科常见病也是疑难症。

WordFTP gives you the convenience and timesaving you need.

wordftp让您的方便和省时您所需要的。