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大型数据
    Design of Large Data Acquisition System
    浅析大型数据采集系统的设计
    The Research Into the Architecture of Large Data Warehouse
    大型数据仓库体系结构研究
    An Automatic Memory Management Algorithm for Large Data Structure
    一种针对大型数据结构的自动内存管理算法
    Design of Error-Check Program on Large Data Files
    大型数据文件查错程序的设计
    Large Data Warehouse based Data Mining: a Survey
    基于大型数据仓库的数据采掘:研究综述
    Half Automatization of the Architecture of Large Data Warehouses
    半自动化构建的大型数据仓库体系结构
    Research on issues in developing large data warehouses
    大型数据仓库实现技术的研究
    The main research works and results obtained are as follows:(1) According to the example, the methods of data entry and logic audit were systematically studied. Seven advices available and easy to use were given, in order to provide scientific bases for logic auditing large data.
    (1)结合实例,较为系统地探讨了大型数据计算机录入及逻辑核查的方式方法,并提出了7点切实可行、便于操作的建议,为大型数据的逻辑核查提供参考。
    The fiber channel (FC) technique is a newly network storage switch technique. It not only provides the long-distance connection and high bandwidth but also carries out large data document transmission among memorizes server and customer node.
    光纤通道(Fiber Channel,FC)技术是一项新兴的网络存储交换技术,它可以提供长距离连接和高带宽,能够在存储器、服务器和客户节点间实现大型数据文件的传输。
    The study purpose of data mining is to find the regular information, which is hided in large data set and people are interested in.
    数据挖掘的研究目的是在大型数据集中发现那些隐藏的、人们感兴趣的具有特定规律的信息。
    Compared with large data mining software, the operation of data mining process in e-CRM is simpler and the mining results is more intuitive, which can play a supporting role in decision making.
    和大型数据挖掘软件相比,本文所实现的数据挖掘过程操作简单,且挖掘结果在界面呈现上比较直观,对企业的决策能起到辅助作用。
    The paper mainly introduces three kinds of large data acquisition system and general design procedure of large data acquisition system.
    本文主要介绍了三种大型数据采集系统以及大型数据采集系统的一般设计过程.
    Knowledge discovery in databases and data mining aim at semiautomatic tools for analysis of large data sets.
    数据库中的知识发现即数据挖掘是致力于大型数据分析中的半自动工具的研究。
    Knowledge discovery in databases is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data set.
    数据库中的知识发现是指在大型数据集中识别有效、新奇、潜在有用、且最终可理解模式的非平凡的过程。
    After analyzing the parallel technology,it is suggested that MPP structure system based on nonshared structure is an optimal candidate for present and developing tendency of data warehouse; and the problems in designing the large data warehouse with parallel technology are also pointed out.
    在分析了并行技术的基础上 ,认为采用基于无共享结构的MPP体系结构最适合于数据仓库的现状和发展趋势 ,并指出了利用并行技术设计大型数据仓库应注意的问题。
    Knowledge discovery in databases is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data set.
    数据库中的知识发现是指在大型数据集中识别有效、新奇、潜在有用、且最终可理解模式的非平凡的过程 .
    In current Web-based Geographic Information System "WebGIS", with the access request of users, lots of large data, such as spatial data, are usually transferred from remote servers to clients, which often makes data transmission delayed, prolongs user response time and leads to low efficiency.
    在当前网络地理信息系统(以下简称WebGIS)中,空间数据等大型数据在用户访问请求下熏从远程服务器端向客户端传输时熏往往引起传输延迟熏延长了响应请求的时间熏降低了效率。
    SOM network can project multi-dimensional data on a low-dimensional regular grid that can be effectively utilized to explore properties of the large data.
    SOM网络将多维数据映射到低维规则网格中,可以有效地用于大型数据的挖掘;
    This paper put forward an algorithm, by using the canopy clustering technique which focuses on large data set, to match data records among multi data sources. The algorithm is a kind of domain-independent method, and compare to other model, when it promises the algorithm's accuracy, this method increases the effectiveness.
    提出了一种基于聚类技术的多数据源记录匹配算法,该算法运用的罩盖(Canopy)聚类技术是一种专门对付大型数据的聚类方法,此算法不仅是一个与应用领域无关的算法,跟其它模型相比,在保证原有准确程度的前提下,大大地减少了必需的计算量,提高了记录匹配的效率.
    By employing automatic memory management algorithm in object oriented program with large data structure,the developing quality and efficiency of this kind of software are improved.
    通过在具有大型数据结构的面向对象程序中引入自动内存管理算法,可以提高这类程序的开发质量与效率。
 

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