Visualization Tools and Techniques

2014 ◽  
pp. 445-457 ◽  
Author(s):  
Georg Zotti
Keyword(s):  
Visualization Tools ◽  
Tools And Techniques

Big Data Visualization Tools and Techniques

2022 ◽  
pp. 590-621
Author(s):  
Obinna Chimaobi Okechukwu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Visualization ◽  
Data Sets ◽  
New Paradigm ◽  
Volume Velocity ◽  
Big Data Visualization ◽  
Visualization Tools ◽  
Tools And Techniques ◽  
Data Analysis Methods

In this chapter, a discussion is presented on the latest tools and techniques available for Big Data Visualization. These tools, techniques and methods need to be understood appropriately to analyze Big Data. Big Data is a whole new paradigm where huge sets of data are generated and analyzed based on volume, velocity and variety. Conventional data analysis methods are incapable of processing data of this dimension; hence, it is fundamentally important to be familiar with new tools and techniques capable of processing these datasets. This chapter will illustrate tools available for analysts to process and present Big Data sets in ways that can be used to make appropriate decisions. Some of these tools (e.g., Tableau, RapidMiner, R Studio, etc.) have phenomenal capabilities to visualize processed data in ways traditional tools cannot. The chapter will also aim to explain the differences between these tools and their utilities based on scenarios.

scholarly journals Accommodating IPv6 Addresses in Security Visualization Tools

2010 ◽  
Vol 10 (2) ◽  
pp. 107-116 ◽  
Author(s):  
David Barrera ◽  
Paul C van Oorschot
Keyword(s):  
Large Scale ◽  
Network Activity ◽  
Traffic Data ◽  
Network Behavior ◽  
Security Analysts ◽  
Current State ◽  
Filtering Technique ◽  
Visualization Tools ◽  
Tools And Techniques ◽  
Single Graph

Visualization is used by security analysts to help detect patterns and trends in large volumes of network traffic data. With IPv6 slowly being deployed around the world, network intruders are beginning to adapt their tools and techniques to work over IPv6 (versus IPv4). Many tools for visualizing network activity, while useful for detecting large-scale attacks and network behavior anomalies, still only support IPv4. In this article, we explore the current state of IPv6 support in some popular security visualization tools and identify the roadblocks preventing those tools from supporting the new protocol. We propose a filtering technique that helps reduce the occlusion of IPv6 sources on graphs and enables IPv4 visualization tools to display both IPv4 and IPv6 sources on a single graph. We also suggest using treemaps for visually representing the vast space of remote addresses in IPv6.

Developing Visualization Tools for the Design of Air Traffic Control Experiments

2005 ◽  
Vol 49 (21) ◽  
pp. 1878-1881 ◽  
Author(s):  
Chris G. Tsonis ◽  
Daniel C. Cunha ◽  
Jonathan M. Histon
Keyword(s):  
Video Game ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Initial Conditions ◽  
Air Traffic ◽  
Graphical Interface ◽  
Significant Research ◽  
Control Research ◽  
Visualization Tools ◽  
Tools And Techniques

While there has been significant research in the development of visualization tools for users of technology, little attention has been paid to developing visualization tools for human factors researchers designing experiments. From a design of experiments perspective, it is difficult to design video game-like experiments like those in found in air traffic control research, because of the need to control potential confounds such as consistency of scenarios and possible practice effects. When designing scenarios, the state and consistency of initial conditions can critically affect the experiment's outcome and validity. In this paper, we discuss several tools and techniques that were developed to better visualize these initial conditions and easily export them to the interface software. The key features of these tools are that they are relatively simple to develop, straightforward and fast to use, provide a graphical interface for the experiment designer, and ultimately can reduce the total design time for each experiment. Visualization tools based on the same general principles can also be of value in other domains.

scholarly journals Towards a Knowledge-Based Recommendation System for Genomics Visualization

2020 ◽  
Author(s):  
Aditeya Pandey ◽  
Sehi L’Yi ◽  
Nils Gehlenborg
Keyword(s):  
Data Visualization ◽  
Biomedical Research ◽  
Recommender System ◽  
Recommendation System ◽  
Formal Training ◽  
Preliminary Design ◽  
Knowledge Based ◽  
Visualization Tools ◽  
Tools And Techniques ◽  
Selection Of

Analysis and interpretation of genomics data are the backbones of breakthroughs and discoveries in biomedical research. Visualization tools and techniques play a significant role in the workflow of genomics researchers, and they are regularly employed in the interpretation of genomics data. However, the vast majority of genomics researchers have little or no formal training in data visualization design. Therefore, they require guidance on designing effective visualizations for a given set of data and analysis tasks. In this poster, we present the methodology behind a recommender system for genomics data and our preliminary design of a knowledge-based recommendation system. The system allows genomics researchers to navigate through a selection of visualization options and identify the techniques that meet their preferences and requirements.

Big Data Visualization Tools and Techniques

2018 ◽  
pp. 465-496
Author(s):  
Obinna Chimaobi Okechukwu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Visualization ◽  
Data Sets ◽  
New Paradigm ◽  
Volume Velocity ◽  
Big Data Visualization ◽  
Visualization Tools ◽  
Tools And Techniques ◽  
Data Analysis Methods

In this chapter, a discussion is presented on the latest tools and techniques available for Big Data Visualization. These tools, techniques and methods need to be understood appropriately to analyze Big Data. Big Data is a whole new paradigm where huge sets of data are generated and analyzed based on volume, velocity and variety. Conventional data analysis methods are incapable of processing data of this dimension; hence, it is fundamentally important to be familiar with new tools and techniques capable of processing these datasets. This chapter will illustrate tools available for analysts to process and present Big Data sets in ways that can be used to make appropriate decisions. Some of these tools (e.g., Tableau, RapidMiner, R Studio, etc.) have phenomenal capabilities to visualize processed data in ways traditional tools cannot. The chapter will also aim to explain the differences between these tools and their utilities based on scenarios.

scholarly journals Digital tools for information visualization in teaching the discipline “International Information аnd Business”

2021 ◽  
Author(s):  
Lesia Khaletska
Keyword(s):  
Higher Education ◽  
Information Visualization ◽  
Information Overload ◽  
Learning Technologies ◽  
Educational Process ◽  
General Description ◽  
Digital Information ◽  
Visualization Tools ◽  
Concept Of Information ◽  
Tools And Techniques

One of the most remarkable signs of the present in many spheres of activity, including education, is information overload. Its consequence is both complication of the information management process and complication of the learning process for all its subjects. Considering this fact, as well as peculiarities of thinking of modern generation of applicants for education, particularly higher education, it is necessary to introduce effective learning technologies in modern conditions. This includes the preparation of training material before it is presented to applicants for higher education. It is visualization that provides an opportunity to present information in an accessible, comprehensible form, in clear, logically structured forms. The purpose of the study is to reveal the role of information visualization in the educational process, to clarify the content of the concept of “information visualization” and related concepts, to provide a general description of visualization tools and techniques, digital visualization tools, to present opportunities and experiences of using digital information visualization tools when studying the discipline “International Information and Business”.

scholarly journals Feature analysis of ontology visualization methods and tools

2020 ◽  
Vol 1 (2) ◽  
pp. 61-77
Author(s):  
Merlin Florrence Joseph ◽  
Ravi Lourdusamy
Keyword(s):  
Feature Analysis ◽  
Knowledge Based ◽  
Ontology Visualization ◽  
Semantic Concepts ◽  
Visualization Tools ◽  
Tools And Techniques

Visualization is a technique of creating images, graphs or animations to share knowledge. Different kinds of visualization methods and tools are available to envision the data in an efficient way. The visualization tools and techniques enable the user to understand the knowledge in an easy manner. Nowadays most of the information is presented semantically which provides knowledge based retrieval of the information. Knowledge based visualization tools are required to visualize semantic concepts. This article analyses the existing semantic based visualization tools and plug-ins. The features and characteristics of these tools and plug-ins are analyzed and tabulated.

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