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Visual Analytics (VA) is a discipline that integrates computational and human efforts, allowing for effective data exploration with interactive and insightful user interfaces. Human- Data Interaction (HDI) is a relatively new term that we interpret here as the interactive interface between a human and the visual representation of the data, analogous to human computer interaction. Advanced user interfaces...
Mining software repositories have frequently been investigated in recent research. Software modification in repositories are often recurring changes, similar but different changes across multiple locations. It is not easy for developers to find all the relevant locations to maintain such changes, including bug-fixes, new feature addition, and refactorings. Performing recurring changes is tedious and...
Ubiquitous availability of human mobility data has opened up new possibilities to address a multitude of application domains. However, so far, the visual analysis of this data has been hindered by the limited ability to explore and query complex movement sequences and to create models that allow meaningful aggregation. To address this problem, this paper presents a novel analytical approach that allows...
Following the trend of big data, the business value of data is becoming a hot research field in recent years. The novel concept of Data Jacket introduced by Ohsawa et al. solved the difficult problem of data transactions due to the particular characteristic of data, i.e. the safeguarding privacy. In order to make sure the mechanism of the market of data, there are some researchers proposed a gamified...
Data Jacket (DJ) is a technique for sharing information about data and for considering the potential value of datasets, with the data itself hidden, by describing the summary of data in natural language. In DJs, variables are described by variable labels (VLs), which are the names/meanings of variables. In the previous study, the matrix-based method for inferring VLs in DJs whose VLs are unknown,...
Various visualization techniques have been adopted to educational Object-Oriented Programming (OOP) environments. Some provide software development with visual notations without source code, while others support programming with visual aids. Our research supports Java programming along with static UML class diagrams and dynamic execution trace of program synchronized in a webbased programming environment...
Research clues can be expressed as coherent chains of keywords grouped by theme. Capturing clues to research from the vast and expanding medical literature is valuable. Yet, it is difficult to automatically create clear visualizations of research clues despite the presence of many competing summarization tools. In this paper, we propose a linear classifier based on a spiral, which we call a regional...
Personal networks formed within scientific communities and the collaborations they yield are one of the driving forces behind innovation and new discoveries. Luckily, successful collaboration produces analyzable data points in the form of publications that allow us to learn and understand some of the connections and collaborative structures in a scientific community. Co-author information is one important...
Emotions influence our perceptions and decisions and are often felt more strongly in situations related to healthcare. Therefore, it is important to understand how both providers and patients express their emotions in face-to-face scenarios. An ontology is a way to represent domain concepts and the relationships between them in a polyarchical manner. We have created an ontological model called the...
Geovisualization, with its capacity to provide tools for visual spatial analysis, has wide-ranging domain applications to support sense and decision making in humanitarian crisis management. The need for such tools is manifest in the Middle East in light of the Syrian civil war and ensuing mass migration of millions of refugees to neighboring countries. The Zaatari refugee camp, home to 80,000 Syrian...
Although most companies operate a firewall to protect their information assets, they have difficulties in identifying the control conditions of firewalls. This study proposes an analysis tool to visualize segment-based firewall rules to facilitate verification of the current control conditions. The proposed visualization tool analyzes the current control conditions of packets automatically, thereby...
In this paper, we introduce a new visualization tool for network-wide intrusion detection. It is based in multivariate anomaly detection with a combination between Principal Component Analysis (PCA) and a new variant called Group-wise PCA (GPCA). Combining these methodologies with the capabilities of interactive visualization, the resulting tool is a highly flexible and intuitive interface that allows...
Detecting zero-day sophisticated malware is like searching for a needle in the haystack, not knowing what the needle looks like. This paper describes Android Malicious Flow Visualization Toolbox that empowers a human analyst to detect such malware. Detecting sophisticated malware requires systematic exploration of the code to identify potentially malignant code, conceiving plausible malware hypotheses,...
A cloud platform records a wealth of information regarding program execution. Most cloud service providers offer dashboard monitoring tools that visualize resource usage and billing information, and support debugging. In this paper, we present a tool that visualizes cloud execution logs for a different goal — to facilitate program understanding and generate documentations for an application using...
We present a visualisation of Melbourne pedestrian count data and a visual metaphor for representing hour-level temporal dimension in this context. The pedestrian count data is captured from sensors located around the city. A visualisation web application is implemented that incorporates a thematic map of these sensor locations with a 24-hour clocklike polygon that shows pedestrian counts at every...
In this paper, we describe the application TaRDIS, a visual analytics system for spatial and temporal data designed for the needs of archaeo-related disciplines that supports domain experts in analyzing their data. The temporal data is visualized in form of an interactive Harris Matrix that illustrates the temporal position of the layers. The 2D and 3D visualization sketches the spatial position of...
Over the last decade, the development of a range of Next Generation Sequencing (NGS) technologies has led to an enormous increase in the size of the data sets available in molecular biology. The scale of these data presents new challenges for researchers, and visualisation is widely regarded as an essential tool for exploration and detailed analysis of candidate relationships. Inevitably, there are...
In this paper we present a new, very large, rich, Comprehensive Scholarly Corpus (CompScholarCorp) as a platform and data source for future research. Our corpus contains records of 1,044,454 papers, 472,365 unique authors, and substantial publication meta-data for each record. We have integrated the data we collected from 276 publishers using a uniform and consistent XML data format within the corpus...
An obstacle for users engaged in data analysis task is determining the most useful way to visually represent their particular datasets. For users with little background in data analytics, this is mostly done through a trial-and-error process. My focus is on investigating appropriate techniques for automatically generating visualisations that help in identifying inconsistencies in data; explicit modelling...
Urbanization is accelerating worldwide, giving rise to serious traffic problems. Traffic wave, known as stop-and go traffic or phantom intersection, is one of the most significant traffic oscillation patterns studied in Traffic Engineering. Usually these studies are numerical experiments that investigate specific places, such as a crossroad or a highway section, and their findings cannot, therefore,...
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