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关键词： Vertica   数据仓库   数据平台   BI   辅助决策  

摘要： 文章针对疾控的信息化建设中的业务数据展示与分析需求,基于Vertica技术建立了疾控公共卫生数据仓库,在此数据仓库的基础上开发疾控数据平台,通过商业智能(BI)对公卫数据进行全方位、多维度的展示与分析,进而为管理工作的辅助决策提供有力支持。

关键词： 数据仓库   突发公共卫生事件   预警预报   系统  

摘要： 对突发公共卫生事件的基本含义进行了概述,从基本原理、数据仓库设计流程,对数据仓库设计进行了分析,并以此为依据,提出了基于数据仓库的突发公共卫生事件预警预报系统的构建对策。

关键词： 现代物流管理   菜鸟顺丰之争   供应链   数据仓库   电子商务   CRM  

摘要： 在当今这个信息化的时代,互联网交易日渐频繁,与高科技相结合和实行现代管理的新兴产业——物流业依托网购这一热潮,在人们的生活中起着不可忽视的作用。人们的衣食住行需求都可以在互联网购物中得到满足,只要轻击鼠标,足不出户便能买到所需商品。世界经济正处于深刻变革的重大转折时期,经济结构的调整、科学技术的发展都推动着现代物流的新生。没有物流公司便无法完成商品配置,连接相隔万里的买家卖家。物流业的管理尤为关键,在国民经济发展中发挥着重要作用,特别是在电子商务发达的现代社会。如何有效进行物流管理成为当下经济发展中重要的一环。

关键词： 软件构架   城市综合管理   应急联动   地理信息系统   数据仓库   数据分析  

摘要： 基于上海市闵行区城市综合管理和应急联动系统的实践,重点描述了系统软件构架的设计与实现,包括系统需求、软件层次组织结构、软件功能划分及职责、构架模式、若干关键实现技术和部分应用示例。该系统经过多年的实际运行和持续改进完善,为城市运行管理、治理和应急联动提供了一种高效的信息化平台和管理手段。该系统的成果已在上海市多个区县和多个城市进行了实际推广应用。

关键词： 数据挖掘   OLAP   教务管理系统  

摘要： 目前我校教务管理系统积累了大量教学过程数据,教务管理系统目前的功能尚不能对这些数据进行深入分析,对教务管理系统中数据分析需求进行调研,分析需求、确定主题域,本文探讨构建教务数据仓库,然后利用OLAP技术进行多维数据分析,将教学运行数据转化为知识,帮助管理者进行教学决策。

关键词： Ice-templating   Solidification   Porous materials   Mechanical properties   Data repository   POROUS HYDROXYAPATITE SCAFFOLDS   ULTRA-HIGH-POROSITY   INTERCONNECTED PORE CHANNELS   CALCIUM-PHOSPHATE SCAFFOLDS   LOW THERMAL-CONDUCTIVITY   GLASS 13-93 SCAFFOLDS   X-RAY RADIOGRAPHY   ENHANCED PHOTOCATALYTIC PERFORMANCE   STABILIZED ZIRCONIA CERAMICS   ALIGNED MICROPOROUS WALLS  

摘要： Freeze-casting produces materials with complex, three-dimensional pore structures which may be tuned during the solidification process. The range of potential applications of freeze-cast materials is vast, and includes: structural materials, biomaterials, filtration membranes, pharmaceuticals, and foodstuffs. Fabrication of materials with application specific microstructures is possible via freeze casting, however, the templating process is highly complex and the underlying principles are only partially understood. Here, we report the creation of a freeze-casting experimental data repository, which contains data extracted from similar to 800 different freeze-casting papers (as of August 2017). These data pertain to variables that link processing conditions to microstructural characteristics, and finally, mechanical properties. The aim of this work is to facilitate broad dissemination of relevant data to freeze-casting researchers, promote better informed experimental design, and encourage modeling efforts that relate processing conditions to microstructure formation and material properties. An initial, systematic analysis of these data is provided and key processing-structure-property relationships posited in the freeze-casting literature are discussed and tested against the database. Tools for data visualization and exploration available through the web interface are also provided. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： database   eResearch   HUBzero   metadata   XPS   DATA TRANSFER FORMAT  

摘要： X-ray photoelectron spectroscopy (XPS) is a widely used surface analysis technique employed in fundamental research, applied research, service laboratories, and industry. Good-quality analytical outcomes depend critically on spectral references. Many examples of XPS reference databases exist, including print editions, sets of spectral peak positions drawn from the literature, and digital archives and libraries. We report the development of a new digital XPS database comprising survey spectra and region spectra for a range of materials types, collected under a common set of analytical conditions. Each material is described using spectra collected at multiple pass energies with all photoelectron and X-ray induced Auger transitions represented. Detailed metadata are provided for each material and each spectrum, presented using a schema that incorporates the ISO 16243 and 14976 standards and extensions developed in this work. Spectra are shared under a Creative Commons International (4.0) attribution, non-commercial licence (CC BY-NC) in Kratos (.dset), VAMAS (.vms), and XML (.xml) formats. It is intended that reference spectra be imported directly into XPS data analysis software packages for reference and comparison purposes, matching either the peak or transition of interest and the instrument pass energy. The database is flexible and scalable in structure and has the potential to become a core XPS reference resource.

关键词： Materialized view selection   Multi-value processing plan   Data warehouse   On-line analytical processing   Game theory   OPTIMIZATION   MAINTENANCE   EFFICIENT  

摘要： Data warehouses exploit On-Line Analytical Processing (OLAP) to make rapid answers for analytical queries. Huge amount of aggregated data within a data warehouse on the one hand, and complex analytical queries raised in a data warehouse on the other hand, increase response time to queries extremely. To solve this problem, a number of views are derived and extracted from original base tables and queries have been answered using them. Since materialization of all possible views is not effective because of limitation of storage and maintenance overhead, selecting an optimal set of views for materialization is crucial to maximize data warehouse performance. In this paper, a game theory based framework for the materialized view selection is proposed. In the proposed framework, query processing and view maintenance costs play a game against each other as two players and continue the game until reach the equilibrium. According to the framework, a new static method, called Game Theory based Materialized View selection (GTMV), has been proposed. Verification of proposed approach has been evaluated using several synthetic and real world datasets. Experimental results show that the GTMV method has better performance comparing previous algorithms and substantially outperform former methods.

关键词： 数据挖掘   数据仓库   成绩管理  

摘要： 中职学校的信息化建设是提高教学质量的手段,本文通过数据仓库和数据挖掘技术的结合为学生成绩分析提供了必要的技术手段。通过数据仓库和有关的数据挖掘的技术,探讨了中职学校基于数据挖掘的方法在学生成绩中的应用,根据成绩分析可以为学校积累大量关于教务的管理,通过采用数据挖掘技术可以提高学校教学质量和课程开设的信息。为我校利用挖掘结果来指导教学管理和决策,为学校实现教学信息化管理。

关键词： VISUALIZATION   RETRIEVAL   SEARCH  

摘要： Motivation: The ever-increasing number of biomedical datasets provides tremendous opportunities for re-use but current data repositories provide limited means of exploration apart from textbased search. Ontological metadata annotations provide context by semantically relating datasets. Visualizing this rich network of relationships can improve the explorability of large data repositories and help researchers find datasets of interest. Results: We developed SATORI-an integrative search and visual exploration interface for the exploration of biomedical data repositories. The design is informed by a requirements analysis through a series of semi-structured interviews. We evaluated the implementation of SATORI in a field study on a real-world data collection. SATORI enables researchers to seamlessly search, browse and semantically query data repositories via two visualizations that are highly interconnected with a powerful search interface.