数据建模在数据仓库建设中的应用

数据仓库是国土资源决策支持系统建设中的核心内容,是决策支持系统处理的基础。建立数据仓库的目的,是把国土资源的内部数据和外部数据进行有效的集成,为各级决策领导、各级管理人员和业务分析人员使用。作者重点从数据仓库模型设计要点、国土资源一体化数据仓库整体模型架构、数据仓库模型设计规范三方面进行了详细设计。     

A conceptual model of software testing

As code is executed correctly under test, confidence in the correctness of the code increases. In this context, an intuitive conceptual model of the process of software testing which draws upon experience gained with mutation analysis is presented. The model is used to explain how the testing of one path can influence confidence in other (possibly unexecuted) paths. It is also discussed in relation to software reliability and systematic structural testing, and is shown to be consistent with observations made during these forms of testing.     

基于Agent的数据仓库的研究

结合可移动的软件Agent技术,提出了基于Agent的数据仓库。它的提出使得用户可以更加有效地管理分布的、异构的集成环境。着重讨论了基于Agent的数据仓库的体系结构,并在此基础上讨论了一些实现中的问题。     

面向科学基金管理数据数据仓库概念模型设计

国家自然科学基金委员会在促进科技进步方面正发挥着越来越多的作用。多年来,国家自然科学基金委员会产生大量的数据,为便于更好地管理和理解数据,建立数据仓库就非常有必要。利用面向对象的概念模型建立了国家自然科学基金委员会管理数据数据仓库,并通过数据仓库的建立以及面向科学基金管理数据的展示系统的建立验证了模型。     

支持数据挖掘的装备软件测评管理系统

设计并实现了一种可以支持测评基准数据挖掘的装备软件测评管理系统(AESTM)。AESTM为B/S结构,采用DCOM构件集成的方式开发,支持测试组的协同工作,可自动生成装备软件测评过程中的各类文档,可在装备软件定型测评项目过程中收集各类度量信息,并利用数据挖掘手段产生装备软件的基准数据。     

Efficiency evaluation of data warehouse operations

We evaluate an efficiency model for data warehouse operations using data from USA and non-USA-based (mostly Korean) organizations. The analysis indicates wide dispersions in operational efficiency, industry and region differences, large differences in labor budgets between efficient and inefficient firms, few organizations efficient in both refresh processing and query production, and difficulty of providing some variables. Follow-up interviews provide insights about the value of efficiency comparisons of information technology organizations and suggestions to improve the model. Using this analysis, we propose a framework containing data warehouse characteristics and firm characteristics to explain IT operational efficiency at the subfirm level.     

基于数据源识别和驱动分析的软件系统测试方法

航天测控软件系统安全关键等级高,其质量直接决定航天任务成败,具有架构庞大、软件配置项多、内外接口复杂、数据传递路径长、处理实时性强等特点,软件系统测试的要求高且难度大,目前存在系统测试需求不清晰、测试针对性差等实际问题;航天测控软件系统是典型的数据驱动型软件系统,针对其特点,文章提出了一种基于数据源识别和数据流分析的软件系统测试方法,开展了数据源识别、数据流路径分析、数据状态分析和获取、系统级数据流顺序图生成等关键技术研究,给出了该方法的推荐工作流程;该方法已在多个航天测控中心软件系统测试中应用,实践表明,针对数据驱动型软件系统,该方法可以显著提高系统测试的设计有效性和测试效率。     

数据挖掘技术在软件工程中的应用综述

随着软件系统的规模和复杂性日益增长,软件开发已经演变成一项复杂的系统工程.软件工程中的对象、活动和过程更加难以控制和管理,因此该领域原有的经验直觉型的处理模式已经不能适应新的需求,而数据挖掘技术的引入为实现知识智能型软件工程提供了重要契机.以软件工程领域中的数据对象为主线,对在程序代码分析、故障检测、软件项目管理、开源软件开发等软件活动中所运用到的数据挖掘技术进行了系统的介绍和归纳,并在每一环节作了方法间的优劣性对比分析.最后还指出了若干值得进一步研究的方向.     

基于OLAP的商业智能系统在福利彩票发行中的应用

当前,如何从海量数据中挖掘规律来指导实际工作,辅助决策者做出正确判断以满足服务消费者的需求,已经成为彩票销售系统提高销量、增强竞争力的热点问题。本文介绍了福彩引入基于OLAP的商业智能系统辅佐决策者做出正确判断以满足服务彩民、业主的需求。     

MSMiner—a developing platform for OLAP

Since the early 1970s, decision support systems (DSS) have evolved significantly. In this paper, the design and implementation of MSMiner, a developing platform for DSS, is introduced. The system is constructed on a data warehouse and integrated with a number of data mining algorithms. It is well suited for on-line analytical processing (OLAP). The characteristics of MSMiner include the ability to support multiple data sources and data mining strategies, additional organizational flexibility in regard to data and mining strategies, and the powerful expansibility of data mining tasks.     

Hybrid methodology for data warehouse conceptual design by UML schemas

Context

Data warehouse conceptual design is based on the metaphor of the cube, which can be derived from either requirement-driven or data-driven methodologies. Each methodology has its own advantages. The first allows designers to obtain a conceptual schema very close to the user needs but it may be not supported by the effective data availability. On the contrary, the second ensures a perfect traceability and consistence with the data sources—in fact, it guarantees the presence of data to be used in analytical processing—but does not preserve from missing business user needs. To face this issue, the necessity emerged in the last years to define hybrid methodologies for conceptual design.

Objective

The objective of the paper is to use a hybrid methodology based on different multidimensional models in order to gather all advantages of each of them.

Method

The proposed methodology integrates the requirement-driven strategy with the data-driven one, in that order, possibly performing alterations of functional dependencies on UML multidimensional schemas reconciled with data sources.

Results

As case study, we illustrate how our methodology can be applied to the university environment. Furthermore, we evaluate quantitatively the benefits of this methodology by comparing it with some popular and conventional methodologies.

Conclusion

In conclusion, we highlight how the hybrid methodology improves the conceptual schema quality. Finally, we outline our present work devoted to introduce automatic design techniques in the methodology on the basis of the logical programming.     

数据挖掘技术在电子政务建设中的实施思路

随着计算机技术的快速发展,数据挖掘技术也逐渐应用到电子政务建设中,本文通过论述数据挖掘技术能够解决的问题,针对不同功能的电子政务工程建设特点提出了相应的数据挖掘思路,从而避免实施过程中的风险性。     

数据仓库技术及其应用

数据仓库技术是决策支持系统(DSS)处理中的核心技术。本文说明了在当今信息极为丰富的时代里数据仓库技术的产生背景，讨论了几种常见数据库管理系统对于数据仓库技术的支持，以及数据库管理系统和数据仓库专用管理系统之间的关系。为了从数据仓库内大量的数据中抽取出潜在的、不为人知的有用信息、模式和趋势，产生了数据挖掘技术。本文还讨论了数据仓库技术在化学中可能的应用。     

Agent技术在Web数据仓库结构中的应用研究

针对基于Web的数据仓库体系结构存在的问题,在该体系结构中引入软件Agent技术,运用移动Agent技术来解决传统方法难以解决的一些主要问题,提出了一种基于Agent的Web数据仓库系统体系结构。文中发挥数据仓库技术和Web技术结合的优势,重点研究了Agent技术在Web服务器端的应用,在把有用的Web数据集成并入到数据仓库中这一目前的研究热点问题中,提出了基于Agent技术将HTML页面转化为XML数据源的解决方案。此外,文章分别研究了应用服务器端和数据仓库系统中的Agent技术的应用,并提出了将Agent技术引入后实现基于Web的数据仓库体系的关键技术。     

Toward data mining engineering: A software engineering approach

The number, variety and complexity of projects involving data mining or knowledge discovery in databases activities have increased just lately at such a pace that aspects related to their development process need to be standardized for results to be integrated, reused and interchanged in the future. Data mining projects are quickly becoming engineering projects, and current standard processes, like CRISP-DM, need to be revisited to incorporate this engineering viewpoint. This is the central motivation of this paper that makes the point that experience gained about the software development process over almost 40 years could be reused and integrated to improve data mining processes. Consequently, this paper proposes to reuse ideas and concepts underlying the IEEE Std 1074 and ISO 12207 software engineering model processes to redefine and add to the CRISP-DM process and make it a data mining engineering standard.     

一种基于本体的数据仓库开发模型

数据仓库开发过程中面临需求获取和异构数据处理两大难题，这两大难题的背后实际是人和人之间理解一致性以及机器和机器之间理解一致性的问题，以及一致性基础上的重用问题。本体是关于事物本质的模型，它为达到这两种一致性提供了坚实的基础，也为重用提供了坚实的基础。该文根据科学问题正确求解的两个核心问题——正确定义问题域和正确的求解手段，把本体分为领域本体和任务本体，在此基础上提出一种基于本体的数据仓库开发模型。这个模型具有过程视图和交流视图两个视图。     

GM-2测控系统软件设计

GM-2测控系统软件是为一种飞行器地面测控系统嵌入式计算机所开发的专用软件,具有对被测对象的测试、控制、仿真、记录等功能。其测试数据、曲线图表和指示结果是分析判定被测对象性能的重要依据。     

数据仓库质量及其应用

给出了数据仓库质量元模型的建模方法，提出了实现数据仓库应用质量、数据仓库数据质量的具体方法和数据防火墙的概念。