走向挑战走向新生-国际图联第74届年会热点学术问题选评   总被引：4，自引：0，他引：4  

王晓力 《大学图书馆学报》2009,27(1):99-106

介绍了在魁北克城召开的国际图联第74届大会上就开源软件与学术图书馆未来、书目数据的开放与共享、新环境新视角下的元数据、物理数字对象保存、数字资源长期保存基础结构、著作权限制与例外等方面的讨论。  相似文献   

《数据结构》教学探讨     

程艳芬 《安阳师范学院学报》2009,(5):139-141

本文针对《数据结构》课程逻辑性强、抽象性高,以及当前教学环节普遍存在的问题,结合多年的教学实践,提出了从教学内容、教学方法方面出发来提高学生的实践能力和学习积极性的有效设计。  相似文献   

网络唤醒原理及其实现     

王鹏冲 《茂名学院学报》2009,19(3):59-61

介绍了网络唤醒的原理以及要实现网络唤醒的需求,并在论述网络唤醒实现前的准备的基础上,利用Visual Basic实现了网络唤醒功能,从而为远程控制计算机提供有力支持。  相似文献   

Monitoring Classroom Behavior in Early Childhood: Using Group Observation Data to Make Decisions     

Delilah Krasch  Deborah Russell Carter 《Early Childhood Education Journal》2009,36(6):475-482

Monitoring and evaluating classroom behavior in early childhood for the purpose of improving teaching and learning is critical. There is a clear link between social behavior and academic learning. Classrooms where students are following expectations, engaging academically, and transitioning effectively between activities are classrooms where students spend more time accessing instruction. In order to make efficient and effective decisions for class-wide supports, data should be collected on the class as a whole. With accurate data, interventions can be implemented for the whole group that will increase instructional time. In this paper we propose quick and efficient data collection methods for three key behaviors: following expectations, engaging academically, and transitioning amongst activities. With minimal disruption and effort, teachers can collect data that will enable them to support appropriate behaviors, ensure that students understand behavioral expectations, maintain an organized environment, improve positive interactions, and decrease the number of students needing intensive, individualized supports.  相似文献   

数据仓库技术在商业银行中的应用     

程永利  刘张榕 《宁波职业技术学院学报》2009,13(2)

提出了利用数据仓库技术整合商业银行历史数据.在对我国商业银行应用需求和信息系统现状进行了详细分析的基础上提出了商业银行数据仓库的整体构架,并对其逻辑设计、数据抽取与转换、数据输出进行了探讨.结果表明,数据仓库建设完成后,为商业银行的决策提供了良好的支持.  相似文献   

基于数据挖掘的数据库入侵检测系统的研究     

洪伟  杨路明 《湖南第一师范学报》2009,9(5):154-156

基于数据挖掘的数据库入侵检测系统模型运用数据挖掘方法,从审计记录中挖掘出用户的正常行为模式,完善滥用检测规则库,实现异常检测和滥用检测。  相似文献   

Measuring the promise of Big Data syllabi     

Alon Friedman 《Technology, Pedagogy and Education》2018,27(2):135-148

Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey of 35 Big Data syllabi across different academic institutions in the USA using Palmer, Bach, and Streifer’s rubric criteria. The role of syllabi in higher education has an established tradition in summarising topics covered in a single course and textbook, and in referencing the instructor’s resources. Yet, despite the central role of course resources, the present study did not find a common textbook. The majority of resources referenced were academic articles and blog postings used by the instructors and other professionals in the field. Based on Palmer et al.’s score rubric, this study found that many of the syllabi broke down the main ideas of Big Data into smaller content items using interpretations of the instructor’s subject knowledge. The study recommends that Big Data instructors need to provide a better breakdown of each component of the syllabus to reflect a clear understanding of grades and resources available on the subject. Future studies also need to examine students’ expectations of those classes.  相似文献   

The data scientist profile and its representativeness in the European e-Competence framework and the skills framework for the information age     

《International Journal of Information Management》2017,37(6):726-734

The activities in our current world are mainly supported by data-driven web applications, making extensive use of databases and data services. Such phenomenon led to the rise of Data Scientists as professionals of major relevance, which extract value from data and create state-of-the-art data artifacts that generate even more increased value. During the last years, the term Data Scientist attracted significant attention. Consequently, it is relevant to understand its origin, knowledge base and skills set, in order to adequately describe its profile and distinguish it from others like Business Analyst. This work proposes a conceptual model for the professional profile of a Data Scientist and evaluates the representativeness of this profile in two commonly recognized competences/skills frameworks in the field of Information and Communications Technology (ICT), namely in the European e-Competence (e-CF) framework and the Skills Framework for the Information Age (SFIA). The results indicate that a significant part of the knowledge base and skills set of Data Scientists are related with ICT competences/skills, including programming, machine learning and databases. The Data Scientist professional profile has an adequate representativeness in these two frameworks, but it is mainly seen as a multi-disciplinary profile, combining contributes from different areas, such as computer science, statistics and mathematics.  相似文献   

Open data: Quality over quantity     

《International Journal of Information Management》2017,37(3):150-154

Open data aims to unlock the innovation potential of businesses, governments, and entrepreneurs, yet it also harbours significant challenges for its effective use. While numerous innovation successes exist that are based on the open data paradigm, there is uncertainty over the data quality of such datasets. This data quality uncertainty is a threat to the value that can be generated from such data. Data quality has been studied extensively over many decades and many approaches to data quality management have been proposed. However, these approaches are typically based on datasets internal to organizations, with known metadata, and domain knowledge of the data semantics. Open data, on the other hand, are often unfamiliar to the user and may lack metadata. The aim of this research note is to outline the challenges in dealing with data quality of open datasets, and to set an agenda for future research to address this risk to deriving value from open data investments.  相似文献   

关于中国微生物组数据中心建设的思考          下载免费PDF全文

马俊才  赵方庆  苏晓泉  徐健  吴林寰 《中国科学院院刊》2017,32(3):290-296

近年来,美国、欧盟都陆续启动了微生物组相关的研究项目。但微生物组大数据的收集、存储、功能挖掘和开发利用一直是制约微生物组发展的核心问题。文章分析了我国目前在微生物组数据管理中存在着标准不统一、缺乏跨领域的数据整合、高质量的参考数据库和数据的深度挖掘技术等问题,提出适时启动"中国微生物组"计划,建立中国微生物组数据中心,在微生物组数据标准化的基础上,建立微生物组大数据计算、存储和共享平台,开发微生物组大数据挖掘的新方法,实现我国微生物组数据资源的系统管理和高效利用。  相似文献