大数据背景下的图书馆信息咨询服务探究

分析了大数据对图书馆信息咨询服务带来的影响,探讨了大数据背景下对图书馆信息咨询服务的有效变革和创新.     

基于图书馆借阅统计数据的读者需求分析

对厦门市图书馆近年来的借阅数据进行了统计分析，依据统计分析结果探讨了阅读推广的方向，提出了适应读者阅读需求的建议。     

对加强当前研究生学术规范建设的初探

对中国高校研究生学术规范中存在的问题进行了分析,提出了解决问题的对策:要建立科学合理的学术评价机制和奖惩机制;重视学生的学术道德教育,规范研究生导师选拔制度;构建培养研究生学术道德的自我约束机制;建立有关学术规范的法律、法规,加强打击学术腐败的网络和软件建设。     

Developing Systems for Real-Time Streaming Analysis

Sources of streaming data are proliferating and so are the demands to analyze and mine such data in real time. Statistical methods frequently form the core of real-time analysis, and therefore, statisticians increasingly encounter the challenges and implicit requirements of real-time systems. This work recommends a comprehensive strategy for development and implementation of streaming algorithms, beginning with exploratory data analysis in a flexible computing environment, leading to specification of a computational algorithm for the streaming setting and its initial implementation, and culminating in successive improvements to computational efficiency and throughput. This sequential development relies on a collaboration between statisticians, domain scientists, and the computer engineers developing the real-time system. This article illustrates the process in the context of a radio astronomy challenge to mitigate adverse impacts of radio frequency interference (noise) in searches for high-energy impulses from distant sources. The radio astronomy application motivates discussion of system design, code optimization, and the use of hardware accelerators such as graphics processing units, field-programmable gate arrays, and IBM Cell processors. Supplementary materials, available online, detail the computing systems typically used for streaming systems with real-time constraints and the process of optimizing code for high efficiency and throughput.     

Multidimensional Scaling With Very Large Datasets

Multidimensional scaling has a wide range of applications when observations are not continuous but it is possible to define a distance (or dissimilarity) among them. However, standard implementations are limited when analyzing very large datasets because they rely on eigendecomposition of the full distance matrix and require very long computing times and large quantities of memory. Here, a new approach is developed based on projection of the observations in a space defined by a subset of the full dataset. The method is easily implemented. A simulation study showed that its performance are satisfactory in different situations and can be run in a short time when the standard method takes a very long time or cannot be run because of memory requirements.     

变限积分的求导方法

结合实例归纳总结不同类型变限积分的求导方法．     

便携式电务基础数据采集系统研究

对电务基础数据采集现状进行了分析,研究了在GPS定位技术支持下的便携式电务基础数据采集系统,包括系统软硬件设计、功能实现。     

Combining GPS carrier phase and Doppler observations for precise velocity determination

The truncation error and propagation error are analyzed for velocity determination through differential GPS carrier phase observations,and an approach for the choice of the best number of points for the central difference method is developed.In order to overcome the disadvantages of existing GPS velocity determination methods,a new velocity determination algorithm is presented,based on combining carrier phase and Doppler observations.The basic idea is that two types of observation are combined by adding the...     

图书馆编目数据外包问题的探讨——以西安图书馆为例

对图书馆编目数据外包工作中产生的数据错误的原因进行了分析,并提出了防范数据错误的措施,以完善和促进编目数据外包工作。     

数据仓库和 OLAP 在高校毕业生就业分析系统的应用研究

以高校教学管理为背景,以近几年教学管理系统中积累下来的毕业生就业的相关数据为研究对象,探讨就业管理数据仓库的构建,并利用数据仓库的数据分析工具—OLAP(On-Line Analysis Processing),对就业单位反馈到某高校的毕业生就业评价数据进行分析研究,从这些海量数据中分析出隐藏在其中的有用信息,从而以此为依据来指导高校培养计划的修订。