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关键词： 数据仓库   数据挖掘技术   卫生信息化   应用  

摘要： 二十世纪是信息化时代,早在数十年前,各个医疗卫生机构就开始了信息化建设,通过数据仓库与数据挖掘技术等信息技术的应用,建立了独立的卫生信息管理体系。在卫生部门中,统计信息是部门管理的重要决策依据,其信息化流程包括数据采集、清洗、转换、抽取、装载以及数据挖掘等,取得的最终成果将应用于医疗卫生机构的资源管理、诊治管理及医疗费用管理等多个环节,对于提高卫生机构管理水平具有重要作用。

关键词： 数据仓库   学生成绩   分析  

摘要： 随着信息化的飞速发展,高校都在加快数字化校园建设步伐,不同部门都在日益完善各自的管理信息系统,这样,大量数据日积月累起来形成了宝贵的信息资源。但目前这些数据主要的用途仍是提供简单的查询和统计报表,对这些数据所隐藏的深层次的信息没有充分地利用。本文对学生成绩数据仓库的体系结构、模型和数据获取阶段进行了设计,以期得出相关趋势,为高校教学管理和学生管理工作提供相应的决策依据。

关键词： 数据模型   构建   数据仓库  

摘要： 当前已经进入大数据时代,伴随而来是数据量的爆炸式增长,数据仓库是机构或企业不可缺少的工具,而数据模型正是数据仓库的灵魂.本文从如何通过数据模型构建数据仓库的角度来阐述数据模型对数据仓库的重要性.

关键词： 大数据   数据仓库   数据挖掘   云计算   架构设计  

摘要： 本文利用互联网、大数据和云计算思维,对银行数据挖掘平台的建设进行探索,提出了构建银行数据挖掘平台逻辑架构、数据架构和物理架构的具体思路,并在建设过程中兼顾数据挖掘平台的前瞻性、实用性和经济性,同时描述了基于上述架构的数据挖掘过程。

关键词： DW design life-cycle   Traceability   Ontology-based approach   Semantic DBMS   TRACEABILITY LINKS   EVOLUTION   MODELS   REQUIREMENTS   INTEGRATION   ONTOLOGIES   ETL  

摘要： Data warehouses (DW) are core parts of decision systems. Ontologies have largely contributed in designing DW systems, due to their ability to capture the precise semantics of design artifacts. Designing semantic DWs involves several steps, where each step is permanently evolving to satisfy new requirements offered by the technology progress. Passing from one phase to another requires important processes and decisions made by design actors. These decisions are usually lost once the DW is built. Tracing these decisions is a challenging issue. However, managing traceability in DW systems did not have the same spring as for software development. In this paper, we claim that the presence of ontologies can be an asset for managing DW traceability: ontologies can semantically define design artifacts during the whole design cycle, and their reasoning capabilities can be used to identify new trace links. In this paper, we propose an approach for semantic DW traceability that requires: (i) the formalization of each design phase, (ii) the identification of horizontal and vertical interactions (inside and between phases), (iii) their semantic definition, storage and usage. The approach is composed of three main activities for managing the traces. It is illustrated using LUBM benchmark, Protege Editor and Oracle semantic DBMS. It is implemented in a case tool assisting the designer for managing the DW traceability.

关键词： 高等学校  

ISBN: (纸本)9787547834626

关键词： 学习机制   极限效率   国际学术会议   Learning   机器学习   认知科学   数据仓库   交叉融合  

摘要： 机器学习研究是诸如心理学、认知科学、生物学、医学、数学、物理、统计、数据库和数据仓库、知识系统和高性能计算等多学科的交叉融合。极限学习机（Extreme Learning Machines，ELM）研究，是以打破人工学习技术和生物学习机制的壁垒而达到学习的极限效率为目标的课题，目前已取得了令人瞩目的进展，并且在各行各业得到广泛应用。

关键词： Functional MRI   Real-time fMRI   Neurofeedback   Default mode network   Data sharing   MULTISOURCE INTERFERENCE TASK   IMAGE REGISTRATION   EMOTION REGULATION   MODE NETWORK   BRAIN   VALIDATION   ROBUST   NOISE   CLASSIFICATION   OPTIMIZATION  

摘要： This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures. We report technical validation from n=125 participants of the final targeted sample of 180 participants. Each session includes acquisition of one whole-brain anatomical scan and whole-brain echo-planar imaging (EPI) scans, acquired during the aforementioned tasks and resting state. The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing. Technical validation of the data confirms that the tasks deactivate and activate the DMN as expected. Group level analysis of the neurofeedback data indicates that the participants are able to modulate their DMN with considerable inter-subject variability. Preliminary analysis of behavioral responses and specifically self-reported sleep indicate that as many as 73 participants may need to be excluded from an analysis depending on the hypothesis being tested. The present data are linked to the enhanced Nathan Kline Institute, Rockland Sample and builds on the comprehensive neuroimaging and deep phenotyping available therein. As limited information is presently available about individual differences in the capacity to directly modulate the default mode network, these data provide a unique opportunity to examine DMN modulation ability in relation to numerous phenotypic characteristics.

关键词： 数据仓库系统   元数据   元数据管理   元模型  

摘要： 在数据仓库技术领域,元数据管理是其研究的重点。本文讨论了元数据相关概念及应用,并基于银行业务背景,分析了元数据管理系统的设计原则,设计了一种基于银行数据仓库系统的物理架构,给出了系统的数据模型设计,且从用户及安全分组两方面论述了系统的实施安全。

关键词： 数据集成   ETL   数据仓库   Kettle  

摘要： ETL是企业数据仓库建设中实现异构数据集成的关键技术手段,本文研究基于Kettle的ETL过程及其在数据仓库建设中的应用。