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关键词： 数据仓库   主题建模   电力交易   决策分析  

摘要： 在电力体制改革不断深入推进的背景下,为提升电力交易运营业务的多级管控能力,通过多视角、多维度的灵活分析,满足电力交易运营对决策分析的更高要求。本文研究建立电力交易运营数据仓库技术,支撑电力交易运营的灵活统计与精准分析,实现交易运营技术从管理支撑到分析决策的跨越。本文首先研究国内外最新的研究成果,结合电力交易运营领域,进行分析、吸呐,并在此基础上通过系列研究,建立了面向电力交易运营的数据仓库模型。

关键词： 决策信息系统   决策支持系统   数据仓库   功能结构设计  

摘要： 新时代的到来,高科技企业之间的竞争日趋激烈,本文先阐述了企业市场战略决策支持系统的发展现状,然后提出了战略决策信息系统的功能结构和体系结构设计方案。

关键词： 数据仓库   图书馆   信息资源  

摘要： 在互联网时代,图书馆信息资源快速增长,图书馆实现信息化管理成为必然趋势。数据仓库是一种能够优化图书馆信息资源的技术,能够为读者提供更加个性化的服务。数据仓库在图书馆信息资源中的关键技术包括联机分析处理技术与大数据挖掘技术,能够从不同角度、不同层面。不同纬度来实现对图书馆信息资源的高效管理,为读者提供更加理想的服务。

关键词： Diabetes mellitus   Diabetic ketoacidosis   Electronic medical record   Enterprise data warehouse   Medical informatics   HYPERGLYCEMIC CRISES   ADULT PATIENTS   TYPE-1   CARE   CLASSIFICATION   MORTALITY  

摘要： Aims: This study validated enterprise data warehouse (EDW) data for a cohort of hospitalized patients with a primary diagnosis of diabetic ketoacidosis (DKA). Methods: 247 patients with 319 admissions for DKA (ICD-9 code 250.12, 250.13, or *** with biochemical criteria for DKA) were admitted to Northwestern Memorial Hospital from 1/1/2010 to 9/1/2013. Validation was performed by electronic medical record (EMR) review of 10% of admissions (N = 32). Classification of diabetes type (Type 1 vs. Type 2) and DKA clinical status were compared between the EMR review and EDW data. Results: Key findings included incorrect classification of diabetes type in 5 of 32 (16%) admissions and indeterminable classification in 5 admissions. DKA was not present, based on the review, in 11 of 32 (34%) admissions. DKA was not present, based on biochemical criteria, in 15 of 32 (47%) admissions. Conclusions: This study found that EDW data have substantial errors. Some discrepancies can be addressed by refining the EDW query code, while others, related to diabetes classification and DKA diagnosis, cannot be corrected without improving clinical coding accuracy, consistency of medical record documentation, or EMR design. These results support the need for comprehensive validation of data for complex clinical populations obtained through data repositories such as the EDW. (C) 2018 Elsevier Inc. All rights reserved.

关键词： Diabetic retinopathy   Archetype   Clinical data model   Phenotyping   Clinical guideline   Electronic health record   INTEROPERABILITY   ARCHETYPES   CARE  

摘要： Type 2 diabetes mellitus (T2DM) is a common chronic disease, and the fragment data collected through separated vendors makes continuous management of DM patients difficult. The lack of standard of fragment data from those diabetic patients also makes the further potential phenotyping based on the diabetic data difficult. Traditional T2DM data repository only supports data collection from T2DM patients, lack of phenotyping ability and relied on standalone database design, limiting the secondary usage of these valuable data. To solve these issues, we proposed a novel T2DM data repository framework, which was based on standards. This repository can integrate data from various sources. It would be used as a standardized record for further data transfer as well as integration. Phenotyping was conducted based on clinical guidelines with KNIME workflow. To evaluate the phenotyping performance of the proposed system, data was collected from local community by healthcare providers and was then tested using algorithms. The results indicated that the proposed system could detect DR cases with an average accuracy of about 82.8%. Furthermore, these results had the promising potential of addressing fragmented data. The proposed system has integrating and phenotyping abilities, which could be used for diabetes research in future studies.

关键词： UN-IONIZED NICOTINE   MASS-SPECTROMETRY   NITROSAMINES   SURVEILLANCE   MOISTURE   PH  

摘要： The article offers the author's insights on topics related to smokeless tobacco (SLT) products. Topics mentioned include the effects of SLT products to public health, the classification of SLT products as group 1 carcinogen by the International Agency for Research on Cancer (IARC), and the chemical profiling of the SLT products. Also mentioned was the development of SLT products repository.

关键词： 食品安全检测   数据仓库技术   数据仓库系统   应用   数据信息   风险预警   基础数据   检测系统  

摘要： 本文通过分析数据仓库技术对食品安全进行检测,进而构建完善的食品安全检测数据仓库系统,为分析食品安全面临的风险以及有效保证食品安全提供有效的数据支持,同时也为进一步挖掘数据信息和检测系统平台的建设做好必要的基础工作。食品安全检测数据信息及风险预警食品安全检测数据特征。创建数据仓库之前需要从源系统中获取基础数据,然而数据来源多种多样、数据信息不规范等问题层出不穷。

关键词： 大数据平台   智慧校园   学生画像   标签体系   Hadoop   数据仓库  

摘要： 市面上加强家庭学校沟通的APP都有一定的局限性,并不能满足学生的个性化需求。通过对学生画像在大数据平台上实现的架构体系、Hadoop平台相关技术以及Hive数据仓库的研究,分析从智慧校园海量数据中提取标签,生成学生画像的实现原理,研制一套适合给学生"画像"的标签体系。优选三层数据仓库,清洗、提炼、聚类的流程方式,优化学生标签的类别和内容,完善给学生打标签的规则,实现在智慧校园中学生画像的构建。通过研究学生画像,更有利于教师、家长了解学生,为学生量身定做其培养方案,助其早日成才。

关键词： 数据平台   北京国际会议中心   Oracle   技术专家   整体解决方案   数据可视化   数据仓库   机器学习  

摘要： 近日,一年一度的DTCC大会在北京国际会议中心盛大召开。DTCC是国内最受关注的数据库、数据仓库及大数据领域技术盛会,已经连续举办了9届。本届大会以＂数领先机·智赢未来＂为主题,会议内容涉及Oracle、My SQL、No SQL、大数据、机器学习、区块链、数据可视化等领域的前瞻性热点话题与技术,有5000多名IT技术专家以及企业高管参加了本次大会。浪潮在会上展出了K-DB数据库整体解决方案,该产品具备共享存储多活集群。

关键词： 高效招生   数据挖掘   数据仓库   关联规则  

摘要： 首先介绍数据挖掘技术以及数据挖掘技术的功能,然后对高校招生数据管理方面的问题进行说明,结合高校招生数据管理需要,将数据挖掘技术应用在高校招生数据管理中,对数据挖掘中的数据准备、数据仓库建模和算法应用进行了分析。数据挖掘方法的使用可以挖掘出数据中的潜在信息,为高校招生数据管理、决策提供有力支持,提高高校招生工作的效率和决策水平。