Investigating the Comprehension Support for Effective Visualization Tools – A Case Study

2009 ◽  
Author(s):  
Harkirat Padda ◽  
Ahmed Seffah ◽  
Sudhir Mudur
Keyword(s):  
Visualization Tools ◽  
Effective Visualization

HFTViz: Visualization for the exploration of high frequency trading data

2021 ◽  
pp. 147387162110649
Author(s):  
Javad Yaali ◽  
Vincent Grégoire ◽  
Thomas Hurtut
Keyword(s):  
Portfolio Management ◽  
High Frequency ◽  
High Speed ◽  
High Frequency Trading ◽  
Domain Experts ◽  
Risk Return ◽  
Visualization Tools ◽  
Liquidity Measures ◽  
Trading Volumes

High Frequency Trading (HFT), mainly based on high speed infrastructure, is a significant element of the trading industry. However, trading machines generate enormous quantities of trading messages that are difficult to explore for financial researchers and traders. Visualization tools of financial data usually focus on portfolio management and the analysis of the relationships between risk and return. Beside risk-return relationship, there are other aspects that attract financial researchers like liquidity and moments of flash crashes in the market. HFT researchers can extract these aspects from HFT data since it shows every detail of the market movement. In this paper, we present HFTViz, a visualization tool designed to help financial researchers explore the HFT dataset provided by NASDAQ exchange. HFTViz provides a comprehensive dashboard aimed at facilitate HFT data exploration. HFTViz contains two sections. It first proposes an overview of the market on a specific date. After selecting desired stocks from overview visualization to investigate in detail, HFTViz also provides a detailed view of the trading messages, the trading volumes and the liquidity measures. In a case study gathering five domain experts, we illustrate the usefulness of HFTViz.

scholarly journals Automatic suggestions to improve the quality of scatterplots during its creation

2019 ◽  
Vol 19 (2) ◽  
pp. e10
Author(s):  
Dana Urribarri ◽  
Martín L Larrea ◽  
Silvia M Castro
Keyword(s):  
Semantic Reasoning ◽  
Visualization Process ◽  
Effective Visualization ◽  
Exploration Activity

The visualization process is a very complex exploration activity and, even for skilled users, it can be difficult to produce an effective visualization. The result of such process depends on the user's decisions along it. One way to improve the probability of achieving a useful outcome is to assist the user in the configuration and preparation of the visualization. Our proposal consists in live suggestions on how to improve the visualization. These live suggestions are based on the user decisions, and achieved by the integration of semantic reasoning into the visualization process. In this paper, we present a case study for scatterplots visualization that combines ontologies with a semantic reasoner and helps the user in the generation of an effective visualization.

scholarly journals Designing Visualizations For Biological Data

Leonardo ◽  
2013 ◽  
Vol 46 (3) ◽  
pp. 270-271 ◽  
Author(s):  
Miriah Meyer
Keyword(s):  
Biological Data ◽  
Discovery Process ◽  
Design Studies ◽  
Biological Discovery ◽  
Vital Component ◽  
Visualization Tools ◽  
Visualization Design ◽  
Effective Visualization

Visualization is now a vital component of the biological discovery process. This article presents visualization design studies as a promising approach for creating effective, visualization tools for biological data.

scholarly journals Assessing the Affordances of SimReal+ and Their Applicability to Support the Learning of Mathematics in Teacher Education

10.28945/3660 ◽  
2017 ◽  
Author(s):  
Said Hadjerrouit
Keyword(s):  
Teacher Education ◽  
Mathematics Education ◽  
Single Case ◽  
Empirical Support ◽  
Future Research ◽  
Validity And Reliability ◽  
Learning Mathematics ◽  
Visualization Tools ◽  
And Mathematics

[This Proceedings paper was revised and published in the journal Issues in Informing Science and Information Technology] Aim/Purpose: Assess the affordances and constraints of SimReal+ in teacher education Background: There is a huge interest in visualizations in mathematics education, but there is little empirical support for their use in educational settings Methodology: Single case study with 22 participants from one class in teacher education. Quantitative and qualitative methods to collect students’ responses to a survey questionnaire and open-ended questions Contribution: The paper contributes to the understanding of affordances and constraints of visualization tools in mathematics education Findings: The visualization tool SimReal+ has potential for learning mathematics in teacher education, but the user interface should be improved to make it more usable for different users. Teachers need to consider technological and pedagogical affordances of SimReal+ at the student, classroom, and mathematics subject level Recommendations for Practitioners: Address technological and pedagogical affordances of SimReal+ Recommendation for Researchers: Improve the design of SimReal+ to make it technologically and pedagogically more usable Impact on Society: Understand the affordances and constraints of visualization tools in education Future Research: Implement a next cycle of experimentation with SimReal+ in teacher education to ensure more validity and reliability

scholarly journals Assessing the Affordances of SimReal+ and their Applicability to Support the Learning of Mathematics in Teacher Education

10.28945/3692 ◽  
2017 ◽  
Vol 14 ◽  
pp. 121-138 ◽  
Author(s):  
Said Hadjerrouit
Keyword(s):  
Teacher Education ◽  
Mathematics Education ◽  
Single Case ◽  
Empirical Support ◽  
Future Research ◽  
Validity And Reliability ◽  
Learning Mathematics ◽  
Visualization Tools ◽  
And Mathematics

Aim/Purpose: Assess the affordances and constraints of SimReal+ in teacher education Background There is a huge interest in visualizations in mathematics education, but there is little empirical support for their use in educational settings Methodology: Single case study with 22 participants from one class in teacher education. Quantitative and qualitative methods to collect students’ responses to a survey questionnaire and open-ended questions Contribution: The paper contributes to the understanding of affordances and constraints of visualization tools in mathematics education Findings: The visualization tool SimReal+ has potential for learning mathematics in teacher education, but the user interface should be improved to make it more usable for different users. Teachers need to consider technological and pedagogical affordances of SimReal+ at the student, classroom, and mathematics subject level Recommendations for Practitioners: Address technological and pedagogical affordances of SimReal+ Recommendation for Researchers: Improve the design of SimReal+ to make it technologically and pedagogically more usable Impact on Society: Understand the affordances and constraints of visualization tools in education Future Research: Implement a next cycle of experimentation with SimReal+ in teacher education to ensure more validity and reliability

scholarly journals Data Mining Applications in Understanding Electricity Consumers’ Behavior: A Case Study of Tulkarm District, Palestine

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4287 ◽  
Author(s):  
Maher AbuBaker
Keyword(s):  
Data Mining ◽  
Clustering Algorithm ◽  
Electricity Consumption ◽  
Support Vector ◽  
Consumer Segmentation ◽  
Time Period ◽  
Visualization Tools ◽  
Box Plot ◽  
Time Periods

This paper presents a comprehensive data analysis and visualization of electricity consumers’ prepaid bills of Tulkarm district. We analyzed 250,000 electricity consumers’ prepaid bills covering the time period from June to December 2018. The application of data mining techniques for understanding electricity consumers’ behavior in electricity consumption and their behavior in charging their electricity meter’s smart cards in terms of quantities charged and charging frequencies in different time periods, areas and tariffs are used. Understanding consumers’ behavior will support planning and decision making at strategic, tactical and operational levels. This analysis is useful for predicting and forecasting future demand with a certain degree of accuracy. Monthly, weekly, daily and hourly time periods are covered in the analysis. Outliers detection using visualization tools such as box plot is applied. K-means unsupervised machine learning clustering algorithm is implemented. The support vector machine classification method is applied. As a result of this study, electricity consumers’ behavior in different areas, tariffs and timing periods is understood and presented by numbers and graphs and new electricity consumer segmentation is proposed.

scholarly journals Switching From Petroleum- to Bio-Based Plastics: Visualization Tools to Screen Sustainable Material Alternatives During the Design Process

2020 ◽  
Author(s):  
Michael Saidani ◽  
Erik Pan ◽  
Harrison Kim
Keyword(s):  
Material Selection ◽  
Sustainable Design ◽  
New Products ◽  
Attractive Alternative ◽  
Plastic Pollution ◽  
Agricultural Equipment ◽  
First Case ◽  
Design And Manufacturing ◽  
Visualization Tools

Abstract The recent development in technology has made bio-based plastics an increasingly attractive alternative to petroleum-based plastics to tackle plastic pollution. However, currently, bio-based plastics have not been widely adopted in the design and manufacturing of new products. To advocate the use of bio-based plastics, this paper proposes two visualization-based tools to educate designers and engineers about the availabilities and the properties of different bio-based plastics. After analyzing the literature on visual tools for sustainable design and material selection, two new prototype tools for screening bio-plastic alternatives are designed with the advice and support of the engineers of a major U.S. manufacturer of agricultural equipment. Surveys and focus groups with the manufacturer’s engineers are conducted to improve the tools, and a first case study is completed to examine their usefulness.

scholarly journals Digital traces for business intelligence

2014 ◽  
Vol 27 (1) ◽  
pp. 66-98 ◽  
Author(s):  
Giannis Milolidakis ◽  
Demosthenes Akoumianakis ◽  
Chris Kimble
Keyword(s):  
Business Intelligence ◽  
Virtual Communities ◽  
Service Providers ◽  
Content Type ◽  
Additional Information ◽  
Constant State ◽  
Visualization Tools ◽  
Future Work ◽  
Practical Implications

Purpose – Data from social media (SM) has grown exponentially and created new opportunities for businesses to supplement their business intelligence (BI). However, there are many different platforms all of which are in a constant state of evolution. The purpose of this paper is to describe a generic methodology for the gathering of data from SM and transforming it into valuable BI. Design/methodology/approach – The approach taken is termed virtual excavation and builds on the similarities between the manipulation of technological artefacts virtual communities using various forms of SM and the excavation and analysis of physical artefacts found in archaeological settlements. Findings – The paper reports on a case study using this technique that looks at the Facebook fan pages of three mobile telecommunications service providers in Greece. The paper identifies many of the standard BI indicators as well as demonstrating that additional information relating to cross-page use can be collected by looking at how users manipulate artefact such as the “like” button in Facebook. Research limitations/implications – Although the methodology is widely applicable, the paper only reports on the analysis of one platform, Facebook, and is heavily reliant on visualization tools. Future work will examine different platforms and different tools for analysis. Practical implications – The paper discusses some of the ways in which this approach could be used and suggests some areas in which it might be applied. Originality/value – The approach of using virtual excavations to extract BI from virtual communities in online SM offers a systematic approach for dealing with a variety of information from a variety of different media that is not found in techniques based on information systems or management science.

scholarly journals Multi-Purpose Ontology-Based Visualization of Spatio-Temporal Data: A Case Study on Silk Heritage

2021 ◽  
Vol 11 (4) ◽  
pp. 1636
Author(s):  
Javier Sevilla ◽  
Pablo Casanova-Salas ◽  
Sergio Casas-Yrurzum ◽  
Cristina Portalés
Keyword(s):  
Ad Hoc ◽  
Computer Architectures ◽  
Visualization Tool ◽  
Temporal Data ◽  
Use Of Data ◽  
Source Data ◽  
Visualization Tools ◽  
Spatio Temporal ◽  
Interactive Map

Due to the increasing use of data analytics, information visualization is getting more and more important. However, as data get more complex, so does visualization, often leading to ad hoc and cumbersome solutions. A recent alternative is the use of the so-called knowledge-assisted visualization tools. In this paper, we present STMaps (Spatio-Temporal Maps), a multipurpose knowledge-assisted ontology-based visualization tool of spatio-temporal data. STMaps has been (originally) designed to show, by means of an interactive map, the content of the SILKNOW project, a European research project on silk heritage. It is entirely based on ontology support, as it gets the source data from an ontology and uses also another ontology to define how data should be visualized. STMaps provides some unique features. First, it is a multi-platform application. It can work embedded in an HTML page and can also work as a standalone application over several computer architectures. Second, it can be used for multiple purposes by just changing its configuration files and/or the ontologies on which it works. As STMaps relies on visualizing spatio-temporal data provided by an ontology, the tool could be used to visualize the results of any domain (in other cultural and non-cultural contexts), provided that its datasets contain spatio-temporal information. The visualization mechanisms can also be changed by changing the visualization ontology. Third, it provides different solutions to show spatio-temporal data, and also deals with uncertain and missing information. STMaps has been tested to browse silk-related objects, discovering some interesting relationships between different objects, showing the versatility and power of the different visualization tools proposed in this paper. To the best of our knowledge, this is also the first ontology-based visualization tool applied to silk-related heritage.

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