检索结果-内蒙古大学图书馆

conference on visualization and data analysis 2011

作者： Pandya, Abhishek Mulye, Aniket Teoh, Soon Tee San Jose State Univ Dept Comp Sci San Jose CA 95192 USA

ISBN: (纸本)9780819484055

The use of timeline to visualize time-series data is one of the most intuitive and commonly used methods, and is used for widely-used applications such as stock market data visualization, and tracking of poll data of election candidates over time. While useful, these timeline visualizations are lacking in contextual information of events which are related or cause changes in the data. We have developed a system that enhances timeline visualization with display of relevant news events and their corresponding images, so that users can not only see the changes in the data, but also understand the reasons behind the changes. We have also conducted a user study to test the effectiveness of our ideas.

关键词： computer-human interface time-series data information visualization user studies online data visualization

来源：评论

学校读者我要写书评

暂无评论

visualization of Topological Structures in Area-Preserving Maps

引用

IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2011年第12期17卷 1765-1774页

作者： Tricoche, Xavier Garth, Christoph Sanderson, Allen Purdue Univ W Lafayette IN 47907 USA Univ Calif Davis Davis CA 95616 USA Univ Kaiserslautern D-67663 Kaiserslautern Germany Univ Utah SCI Inst Salt Lake City UT 84112 USA

Area-preserving maps are found across a wide range of scientific and engineering problems. Their study is made challenging by the significant computational effort typically required for their inspection but more fundamentally by the fractal complexity of salient structures. The visual inspection of these maps reveals a remarkable topological picture consisting of fixed (or periodic) points embedded in so-called island chains, invariant manifolds, and regions of ergodic behavior. This paper is concerned with the effective visualization and precise topological analysis of area-preserving maps with two degrees of freedom from numerical or analytical data. Specifically, a method is presented for the automatic extraction and characterization of fixed points and the computation of their invariant manifolds, also known as separatrices, to yield a complete picture of the structures present within the scale and complexity bounds selected by the user. This general approach offers a significant improvement over the visual representations that are so far available for area-preserving maps. The technique is demonstrated on a numerical simulation of magnetic confinement in a fusion reactor.

关键词： Poincare map dynamical systems topology chaos area-preserving maps invariant manifolds

来源：评论

学校读者我要写书评

暂无评论

Unifying the Integration, analysis and Interpretation of multi-omic datasets: Exploration of the disease networks of Obstructive Nephropathy in children

Unifying the Integration, Analysis and Interpretation of mul...

引用

33rd Annual International conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)

作者： Moulos, Panagiotis Valavanis, Ioannis Klein, Julie Maglogiannis, Ilias Schanstra, Joost Chatziioannou, Aristotelis Natl Hellen Res Fdn Inst Biol Res & Biotechnol Athens Greece

ISBN: (纸本)9781424441228

The wealth of data amassed by the utilization of various high-throughput techniques, in various layers of molecular dissection, stresses the critical role of the unification of the computational methodologies applied in biological data handling, storage, analysis and visualization. In this article, a generic workflow is showcased in a multi-omic dataset that is used to study Obstructive Nephropathy (ON) in children, integrating microarray data from several biological layers (transcriptomic, post-transcriptomic, proteomic). The workflow exploits raw measurements and through several analytical stages (preprocessing, statistical and functional), which entail various parsing steps, reaches the visualization stage of the heterogeneous, broader, molecular interacting network derived. This network, where the interconnected entities are exploiting the knowledge stored in public repositories, represents a systems level interpretation of the pathological state probed.

关键词： Bioinformatics data visualization Genomics Mice Proteins Proteomics bioinformatics biological data analysis biological data handling biological data storage biological data visualization biological techniques biomedical engineering complex networks comput

来源：评论

学校读者我要写书评

暂无评论

The Application of Ontology Information System Based on Rough Formal Concept analysis

The Application of Ontology Information System Based on Roug...

引用

2011 International conference on Photonics, 3D-Imaging, and visualization

作者： Yi Wang Department of Information Technology Guangdong Textile Polytechnic

ISBN: (纸本)9780819488473

The role of this ontology is to provide a shared vocabulary and semantics between domain knowledge and vision. Ontology presents semantics for interpreting data instances. Formal concept lattices and rough set theory are two kinds of complementary mathematical tools for data analysis and data processing. The paper proposes the method of constructiong ontology nodes information system based on rough formal concept analysis in order to constructing the ontology model of knowledge management. Experimental studies are done with rough set and FCA in constructing the numbers of ontology nodes. The experimental results indicate that this method has great promise and is showing that ROUGH SET is superior to FCA in building the numbers of ontology nodes.

关键词： Rough set formal concept analysis domain ontology

来源：评论

学校读者我要写书评

暂无评论

A Tri-Linear visualization for Network Anomaly Detection

A Tri-Linear Visualization for Network Anomaly Detection

引用

conference on visualization and data analysis 2011

作者： Whitaker, Robert B. Erbacher, Robert F. Utah State Univ Dept Comp Sci UMC 4205 Logan UT 84322 USA Northwest Secur Inst Redmond WA 98052 USA

ISBN: (纸本)9780819484055

This research discusses a novel application of ternary plots to the visualization of network traffic data. These plots prove to be enormously effective at identifying anomalous network activity and can be valuable in monitoring network activity much more efficiently than can be done with existing techniques. The visualization was implemented in our existing visualization infrastructure to reduce development time. Testing was performed on actual network traffic data collected from a local network. Multiple anomalies were easily identifiable within the data set without any prior knowledge as to the contents of the test file. This paper discusses the ternary plot and its application to network traffic data, the formulas needed to calculate and display ternary coordinates, and the basic architecture for the visualization implementation.

关键词： Security visualization anomaly detection ternary plot

来源：评论

学校读者我要写书评

暂无评论

A NOVEL DEVELOPMENT AND analysis SOLUTION TO PAAS LOG BY USING COUCHDB

A NOVEL DEVELOPMENT AND ANALYSIS SOLUTION TO PAAS LOG BY USI...

引用

2012 3rd IEEE International conference on Network Infrastructure and Digital Content

作者： Zhihan Liu,Yuhua Wang,Rongheng Lin State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China

Log for PaaS cloud computing system is important to provide information to manage *** this paper,we design and implement a PaaS log system by providing log recording ability to other parts of PaaS system as a *** system uses Log4j as log frame and CouchDB as database to analyze logs due to its data structure,efficient log analysis using Map Reduce and fore-end ***,we analyze system load,webservice load,VM load and DB load based on this PaaS log system and real *** last,future analysis using our PaaS log system and system optimizations are discussed.

关键词： PaaS Log CouchDB Map reduce visualization

来源：评论

学校读者我要写书评

暂无评论

Interactive visualization of Scattered Moment Tensor data

Interactive Visualization of Scattered Moment Tensor Data

引用

conference on visualization and data analysis 2011

作者： Obermaier, Harald Billen, Magali I. Hagen, Hans Hering-Bertram, Martin Univ Kaiserslautern D-67663 Kaiserslautern Germany Univ Calif Davis Davis CA USA Fraunhofer ITWM Kaiserslautern Germany

ISBN: (纸本)9780819484055

Moment tensors derived from seismic measurements during earthquakes are related to stress tensors and keep important information about surface displacement in the earth's mantle. We present methods facilitating an interactive visualization of scattered moment data to support earthquake and displacement analysis. For this goal, we combine and link visualizations of spatial location and orientation information derived from moment tensor decompositions. Furthermore, we contribute new tensor glyphs highlighting the indefinite character of moment tensors as well as novel tensor clustering and averaging techniques to aid interactive visual analysis and ease the challenges of interpreting moment tensor data.

关键词： moment tensor tensor glyph clustering interactive

来源：评论

学校读者我要写书评

暂无评论

Coupling Clustering and visualization for Knowledge Discovery from data

Coupling Clustering and Visualization for Knowledge Discover...

引用

International Joint conference on Neural Networks (IJCNN)

作者： Cabanes, Guenael Bennani, Younes LIPN CNRS UMR 7030 F-94340 Villetaneuse France

ISBN: (纸本)9781424496365

The exponential growth of data generates terabytes of very large databases. The growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. One solution commonly proposed is the use of a condensed description of the properties and structure of data. Thus, it becomes crucial to have visualization tools capable of representing the data structure, not from the data themselves, but from these condensed descriptions. The purpose of our work described in this paper is to develop and put a synergistic visualization of data and knowledge into the knowledge discovery process. We propose here a method of describing data from enriched and segmented prototypes using a clustering algorithm. We then introduce a visualization tool that can enhance the structure within and between groups in data. We show, using some artificial and real databases, the relevance of the proposed method.

关键词： Clustering algorithms data structures data visualization databases Density functional theory Neurons Prototypes data analysis data clustering data exploration data mining data visualisation database database management systems exponential data growth knowledge discovery pattern clustering self-organising feature maps synergistic data visualization visualization tool

来源：评论

学校读者我要写书评

暂无评论

Survivability analysis for Continuous data Protection System Based on SMP

Survivability Analysis for Continuous Data Protection System...

引用

2011 International conference on Photonics, 3D-Imaging, and visualization

作者： Xiong Qi Liu Hui Liu Lin Wu Shizhong China Information Technology Security Evaluation Center

ISBN: (纸本)9780819488473

As a Novel Disaster surviving technology, Continuous data Protection(CDP) can restore the protected system to the state of any time point in the past. Until now, no efficient survivability evaluation method for CDP system is developed. Regarding this problem, a semi-markov process(SMP) is applied to survivability of CDP, SMP model for CDP survivability analysis is established, quantitative survivability metric is calculated and some survivability enhancing strategies are proposed accordingly.

关键词： Survivability,continuous data protection,semi-markov process

来源：评论

学校读者我要写书评

暂无评论

A Knowledge visualization of database Content Created By A database Taxonomy

A Knowledge Visualization of Database Content Created By A D...

引用

15th International conference on Information Visualisation (IV)

作者： Zellweger, H. Paul ArborWay Labs Rochester MN USA

ISBN: (纸本)9780769544762

The synergy between information visualization and knowledge visualization is explored using the "database Taxonomy" to guide the way. Drawing extensively on Burgin's mathematical theory of named sets, this new knowledge visualization treats all database content as if it were scientific data, regardless of the database application. This mathematical tool penetrates deep into the logical structure of data and data relations, enabling a single algorithm to generate a conceptual knowledge structure, which pre-structures raw data in the database into a list of nested data-topic lists that works like a book index. For end-users, this visualization is familiar, convenient and precise. For the research community, this knowledge structure and the techniques used to build it offer an empirical tool for investigating the underlying properties of data, information, and knowledge on a computing device. The transformation from data to information to knowledge is automatic and seamless, thanks to a novel analysis of the logical structure of the symbols on these mechanical devices, one which reveals meta-symbols consisting of physical values (v) and constructed-types (t). The database Taxonomy also provides a first glimpse into how navigating this structure can generate a predicate logic expression, an outcome which the author believes promises to advance our theoretical understanding of knowledge visualization and of the influence of a digital media on symbolic logic.

关键词： database navigation knowledge visualization RDBMS interface

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：