面向在线学习平台的数据可视化研究

在互联网背景下,在线学习平台得到了各个领域的关注和认可.随着网络发展水平地提高,在线学习走向时代前沿,学生利用网络随时随地学习,具有人性化教学、二十四小时答疑等功能.然而,在线学习平台在发展中将会面临各种问题,如在线学习平台中将会产生各种数据信息.因此,本文就结合在线学习平台数据可视化的原则,重点分析面向在线学习平台的...     

动力部网络设备在线监测数据分析

应用数理统计知识对在线监测数据进行频数分析,量化地评价动力部网络设备的运行质量,做好网络维护和网络管理的基础工作,为网络维护和网络管理提供数据支持。     

对多维时间序列应用于在线监测数据处理的探讨

本文首先简述了多维时间序列近年来的发展背景,然后具体的分析了其特点和建模的方法,并对其算法做了简单的介绍,最后建立了多维时间序列的AR模型,将多维时间序列应用到具体的在线检测的数据处理中,取得了良好的效果。     

Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising

Clickstreams are visitors' paths through a Web site. Analysis of clickstreams shows how a Web site is navigated and used by its visitors. Clickstream data of online stores contains information useful for understanding the effectiveness of marketing and merchandising efforts, such as how customers find the store, what products they see, and what products they purchase. In this paper, we present an interactive visualization system that provides users with greater abilities to interpret and explore clickstream data of online stores. This system visualizes the effectiveness of Web merchandising from two different points of view by using two different visualization techniques: visualization of sessions by using parallel coordinates and visualization of product performance by using starfield graphs. Furthermore, this system provides facilities for zooming, filtering, color-coding, dynamic querying and data sampling. It also provides summary information along with visualizations, and by maintaining a connection between visualizations and the source database, it dynamically updates the summary information. To demonstrate how the presented visualization system provides capabilities for examining online store clickstreams, we present a series of parallel coordinates and starfield visualizations that display clickstream data from an operating online retail store. A framework for understanding Web merchandising is briefly explained. A set of metrics referred to as micro-conversion rates, which are defined for Web merchandising analysis in our previous work (Lee et al., Electronic Markets, 2000), is also explained and used for the visualizations of online store effectiveness.     

H-Tree:一种面向大数据流在线监测的层次索引

随着计算机网络的迅猛发展和大数据时代的到来,数据越来越频繁地呈现出多属性异构的特点.这种包含多种不同类型属性的大数据流称为异构大数据流(Heterogeneous Big Data Streams).在面向大规模数据在线监测分析的应用中,通常需要在异构大数据流上注册大规模监测规则.因此,对于每一个数据流元组,必须用最小的计算开销满足所有的规则.同时,由于大数据流上监测规则集异常庞大,提高规则监测的性能是大规模数据流在线监测的关键.基于此,该文提出一种层次化的索引结构H-Tree及其在线规则匹配算法.具体的,H-Tree将大数据流上的属性集划分为离散型属性和连续型属性.基于不同的属性集,构建两层索引结构:在第1层,通过改进的红黑树对离散型谓词构建触发索引;在第2层,通过量化连续型谓词构建多维索引结构.H-Tree的在线规则匹配算法利用关联关系表对两层索引的监测结果进行融合过滤.实验分析表明,与经典的R+方法相比较,H-Tree通过层次化的索引结构,在不降低准确度的前提下,显著提升了大数据流的监测效率.     

基于Eclipse RCP框架的地质监测数据可视化应用研究

基于Eclilpse RCP的可视化技术和面向服务的SOA架构,分析了传统地质灾害监测数据的特点,针对地质灾害监测数据可视化的需求,结合Eclipse RCP的优点,构建了一种地质灾害监测数据的集成框架,实现了地质灾害监测数据的可视化显示。     

基于物联网的电梯运行数据在线监测系统设计

传统的电梯运行数据在线监测系统数据收集合格率、监测准确率差,为了解决上述问题,基于物联网设计了一种新的电梯运行数据在线监测系统,系统硬件设计分为数据采集模块、监测数据通信模块以及GPRS监测模块三个模块进行操作.系统软件设计加大对数据的算法控制,匹配对应算法对数据进行标准化监测,实现对整体系统的设计.实验的结果表明,相对于传统系统,给出的设计能够在较高程度上完善系统内部结构,增强系统操作的可行性,更好地为使用者提供优良服务.     

Visualization of Multi-Variate Scientific Data

In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors and tensors. We also provide a categorization of these techniques with the aim for a better overview of related approaches. Based on this classification we highlight combinable and hybrid approaches and focus on techniques that potentially lead towards new directions in visualization research. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems.     

Distribution-Driven Visualization of Volume Data

Feature detection and display are the essential goals of the visualization process. Most visualization software achieves these goals by mapping properties of sampled intensity values and their derivatives to color and opacity. In this work, we propose to explicitly study the local frequency distribution of intensity values in broader neighborhoods centered around each voxel. We have found frequency distributions to contain meaningful and quantitative information that is relevant for many kinds of feature queries. Our approach allows users to enter predicate-based hypotheses about relational patterns in local distributions and render visualizations that show how neighborhoods match the predicates. Distributions are a familiar concept to nonexpert users, and we have built a simple graphical user interface for forming and testing queries interactively. The query framework readily applies to arbitrary spatial data sets and supports queries on time variant and multifield data. Users can directly query for classes of features previously inaccessible in general feature detection tools. Using several well-known data sets, we show new quantitative features that enhance our understanding of familiar visualization results.     

数据可视化的研究与发展

针对数据可视化是可视化技术在大型数据库的应用中提出的新的数据分析和处理技术,该文介绍了数据可视化的概念和发展状况,然后针对大型数据集介绍了几种数据可视化技术以及它们的代表方法,并对数据可视化和科学计算可视化进行了分析和比较,最后探讨了数据可视化技术的研究发展方向。     

基于流数据的列车在线状态监测方法研究与应用

为实时地监测列车在线状态,传统的阈值检测方法只能从数值表现上对设备或系统状态做出判断,而忽略了数据趋势性变化所反映出的列车健康状态变化信息.文章针对列车在线运行过程中产生的流数据提出了一种基于一致性表现的流数据分析方法,其在离群异常点提供报警的同时,能够从特征变化趋势中挖掘信息,同时开发了一套应用于列车多功能车辆总线M...     

Evaluating Social Navigation Visualization in Online Geographic Maps

Social navigation enables emergent collaboration between independent collaborators by exposing the behavior of each individual. This is a powerful idea for web-based visualization, where the work of one user can inform other users interacting with the same visualization. Results from a crowdsourced user study evaluating the value of such social navigation cues for a geographic map service are presented. Results show significantly improved performance for participants who interacted with the map when the visual footprints of previous users were visible.     

基于单片机的电缆在线监测研究

随着市场经济的深入发展和电力系统规模的持续扩大,电缆用量越来越多;而且由于大量电缆铺设在距离较长、走向复杂的电缆沟内,长期运行在高电压、大电流环境下,很容易引起电缆温度上升、温度异常等现象,进而造成火灾,带来严重的财产损失和人身伤亡。该文正是在这一前提下,设计实现了一套电缆在线监测系统的应用研究。     

一种多维数据的可视化技术及其实现

引入了数据可视化概念,以聚类挖掘K-Means算法为例,实现了一种将N维数据向3维空间点坐标转换的方法;并利用图形软件开发包DirectX8.1将得到的点集合在屏幕上绘制出来,描述了挖掘结果,最终实现了结果的可视化;此外,也对本实验方法的优点和有待改进的地方做了总结.     

大数据时代下的数据可视化方法分析

本文主要以大数据时代下的数据可视化方法分析为重点进行阐述,结合当下大数据时代数据管理实际情况为依据,首先分析大数据时代下的数据可视化方法产生背景,包括数据可视化概述、大数据时代下的数据可视化的必要性、大数据时代面临的机遇和挑战,其次从结合信号和噪音,科学使用统计手段、事先研究,提前时间、全面分析,强化数据质量、统计探究不是简单的数字计算,应保证简约性、评测变异性,检验假设、增加重复几率,完成数据可在现几个方面深入说明并探讨大数据时代下的数据可视化方法,最后阐述大数据时代下的数据可视化思考,旨意在为相关研究提供参考资料。     

基于Web的数据可视化技术探讨

随着移动互联网时代的到来,人类社会已经进入了大数据时代。计算机在处理数据的过程中,要对部分不具有几何属性的信息进行抽象,借助数据挖掘技术获取数据间存在的各种复杂关系。基于此,笔者对数据可视化与基于Web的数据可视化技术进行概述,分析了基于Web的数据可视化系统结构与设计流程,阐述了基于Web的数据可视化系统功能,详细论述了基于Web的数据可视化系统的存储机制。     

单分类算法中的数据可视化技术

通过对可视化技术的分析,设计了单类分类器的可视化方法,将单分类异常检测算法过程在二维空间表述出来。通过对国际标准数据集进行试验,可视化过程显示了分类算法的核参数对分类面的影响。将单类分类器的可视化方法应用于主机系统调用序列的异常检测中,可以将入侵检测过程呈现给用户,能够有效地发现入侵行为,有助于更好地理解单类分类器在对用户的系统调用执行序列分析的效果。