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关键词： ZigBee技术   人员定位   数据仓库   实时监控  

摘要： 文章主要从ZigBee的特点、ZigBee协议栈简介、基于ZigBee技术的井下人员定位系统的组成以及系统软件结构等几个方面,对基于ZigBee技术的井下人员定位系统进行了研究。

关键词： 校园一卡通   数据仓库   建模  

摘要： 校园一卡通在校园中涉及的应用领域越来越多,为师生员工带来了极大的方便。同时,校园一卡通系统中数据量也越来越大,传统的关系数据库对于如何有效的存储、管理、利用这些数据没有有效的办法。提出了基于数据仓库技术整合、管理校园一卡通的历史数据和实时数据的方案,建立了数据仓库模型,并对其中的关键问题进行了探讨,为校园一卡通系统的进一步发展做出了有益的探索和实践。

关键词： Spatial data warehouse   Geographic information   Personalization  

摘要： Spatial data warehouses (SDW) rely on extended multidimensional (MD) models in order to provide decision makers with appropriate structures to intuitively explore spatial data by using different analysis techniques such as OLAP (On-Line Analytical Processing) or data mining. Current development approaches are focused on defining a unique and static Spatial multidimensional (SMD) schema at the conceptual level over which all decision makers fulfill their current spatial information needs. However, considering the required spatiality for each decision maker is likely to derive in a potentially misleading SMD schema (even if a departmental DW or data mart is being defined). Furthermore, spatial needs of each decision maker could change over time or depending on the context, thus requiring the SMD schema to be continuously updated with changes that can hamper decision making. Therefore, if a unique and static SMD schema is designed, acquiring the required spatial information is more costly than expected for decision makers and they may get frustrated during the analysis. To overcome these drawbacks, we argue for considering spatiality as a personalization feature within a formal design process. In this way, each decision maker will be able to access its own personalized SMD schema with its required spatial structures and instances, suitable to be properly analyzed at a glance. Our approach considers several novel artifacts: (i) a UML profile for spatial multidimensional modeling at the conceptual level, (ii) a spatial-aware user model in order to define decision maker profile; and (iii) a spatial personalization language to define spatial needs of decision makers as personalization rules. The definition of personalized SMD schemas by using these artifacts is formally defined using the Software Process Engineering Metamodel Specification (SPEM) standard. Finally, the applicability of our approach is shown through a running example based on our Eclipse-based tool for SDW

关键词： Semantic Web   Ontologies   Data warehouses   OLAP   Multidimensional design   ONTOLOGIES   REUSE   TOOL  

摘要： The Semantic Web (SW) deployment is now a realization and the amount of semantic annotations is ever increasing thanks to several initiatives that promote a change in the current Web towards the Web of Data, where the semantics of data become explicit through data representation formats and standards such as RDF/(S) and OWL However, such initiatives have not yet been accompanied by efficient intelligent applications that can exploit the implicit semantics and thus, provide more insightful analysis. In this paper, we provide the means for efficiently analyzing and exploring large amounts of semantic data by combining the inference power from the annotation semantics with the analysis capabilities provided by OLAP-style aggregations, navigation, and reporting. We formally present how semantic data should be organized in a well-defined conceptual MD schema, so that sophisticated queries can be expressed and evaluated. Our proposal has been evaluated over a real biomedical scenario, which demonstrates the scalability and applicability of the proposed approach. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Data warehouse   XML   Security   Model driven development   Transformation rules   Case study   SOFTWARE-DEVELOPMENT   ACCESS-CONTROL   UML   FRAMEWORK   PROFILE   DESIGN  

摘要： Data warehouses are systems that provide useful information to support the decision making process, thus improving organizations' business processes. These systems integrate heterogeneous sources which are not only limited to their internal business data but also include data from the Web, the latter of which have become increasingly more important in the decision making process in recent years. This has motivated the extensive use of XML in the implementation of data warehouses, in a manner which facilitates data and metadata interchange among the heterogeneous data sources from the Web and the data warehouse. However, the business information that data warehouses manage is crucial and highly sensitive, and must be carefully protected. Security is thus a key issue in the design of data warehouses, regardless of the implementation technology used. It is important to note that the data available on the Web requires particular security considerations which have been specifically tailored to these systems in order to permit their particularities to be captured correctly. Unfortunately, although security issues have been considered in the development of traditional data warehouses, current research lacks approaches with which to consider security when the target platform is based on XML technology. In order to deal with this situation, in this paper we propose a methodological approach for the model driven development of secure XML data warehouses. We also specify a set of transformation rules that are able to automatically generate not only the corresponding XML structure of the data warehouse from secure conceptual data warehouse models, but also the security rules specified within the data warehouse XML structure, thus allowing both aspects to be implemented simultaneously. We additionally introduce our secure XML DW development approach, in which the secure conceptual DW data model, the PIM, is transformed into a secure XML DW, as a PSM, by applying a set of transfo

关键词： TRAINING of medical residents   ACQUISITION of data   DATA warehousing   EDUCATIONAL programs   MEDICAL education  

摘要： The authors comment on a study on the data warehouse approach for health education research. The authors claim that the study describe the process in collecting data on the collaborative effort of 14 residency training programs in which data warehouse approach was used to compare the impact of educational variations on residents' training programs. The authors mention that education data warehouse approach can drive strategic decisions as it balanced the potential rewards against challenges.

关键词： 经营分析系统   数据质量   数据仓库  

摘要： 经营分析系统就像是企业发展决策的"大脑",必须确保其数据仓库系统中数据的质量,才能保证经营分析系统所分析、发掘、展现的内容是真实、有效的数据,才能真正发挥其分析决策的用途助力企业发展。该文结合实际对企业经营分析系统的数据质量检查工作中所暴露出来的数据质量问题进行了分析,并结合问题产生的根源提出了数据质量问题的提升方法。

关键词： 数据   数据仓库   ERP   信息   数据库  

摘要： 随着信息时代的到来,社会必然会引起一场知识大爆炸,从数据仓库中获取相应的知识和数据挖掘必然会成为信息时代的重要技术之一。自从ERP普及之后,怎样才能从海量的数据信息中查找到对企业有价值的信息已成为企业优胜劣汰的关键。因此,在ERP建立过程中数据仓库的建立又显得格外重要。

关键词： 数据仓库   OLAP   决策支持系统   数据挖掘  

摘要： 近年来,随着我国高等院校招生规模的不断扩大,高校的数量也在不断增长。数量的增多就决定了优胜劣汰,要想在激烈的竞争中得以生存,务必要提高教师的教学质量,找出影响教师教学水平提高的不利因素,有针对性的分析和解决问题。决策支持系统(Decision Support System,DSS)是一门新兴的管理信息技术,能为决策者提供决策所需要的背景资料及相关数据、信息,提高决策的正确性。

关键词： 数据仓库   OLAP   课程教学质量   多维数据模型  

摘要： 基于数据仓库的数据挖掘是涉及人工智能、机器学习和数据库等多学科的一个相当活跃的研究领域。随着技术发展,如何更好地将数据仓库和数据挖掘技术应用于教育领域,进行针对教学质量测评系统数据仓库、教学质量相关主题数据立方体的数据挖掘,已成为目前教育领域应用研究的重点问题。论文参照学校教务部门对教学质量的评价体系,重点研究以考试成绩为主线的课程教学质量的分析方案,以Delphi为开发平台设计和实现了一个"课程教学质量分析系统"。论文在介绍了对数据仓库、联机分析处理(OLAP)等相关概念之后;给出了课程教学质量分析系统的分析模型和数据模型的设计;展示了课程教学质量信息的联机分析处理结果。