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The amount of data produced in the world every day implies a huge challenge in understanding and extracting knowledge from it. Much of this data is of relational nature, such as social networks, metabolic pathways, or links between software components. Traditionally, those networks are represented as node-link diagrams or matrix representations. They help us to understand the structure (topology)...
We introduce a technique for bundling edges in graphs where a hierarchical organization of the vertices is not available. Instead of applying time-complex force-directed edge bundling, we adopt the concept of Rapidly-Exploring Random Trees (RRTs). We use RRTs for fast computation of a hierarchical space organization that is independent of the spatial structure of the graph layout. Due to this independency,...
Parallel coordinates are a well-known and valuable technique for the analysis and visualization of high dimensional data sets. However, while Inselberg emphasizes that the strength of parallel coordinates as a methodology is rooted in exploration and interactivity, the set of interaction techniques is currently limited. Axes can be re-ordered and brushing (simple, angular or multi-dimensional) can...
We propose a novel radial layered matrix visualization for dynamic directed weighted graphs in which the vertices can also be hierarchically organized. Edges are represented as color-coded arcs within the radial diagram. Their positions are defined by polar coordinates instead of Cartesian coordinates as in traditional adjacency matrix representations: the angular position of an edge within an annulus...
Tag clouds are a popular way to visually represent word frequencies. However, one major limitation is that they do not relate different word forms but treat every form as an individual tag. This results not only in a non-efficient use of screen space but, in particular, leaves the viewer with no indication whether there are other forms of a word or not. To overcome this limitation, we introduce prefix...
Analysis and monitoring of system logs such as transaction logs and access logs is important for various objectives including trend discovery, update effort determination, and malicious behavior monitoring. However, it is not always an easy task because these logs may be massive, consisting of millions of records containing tens of variables, and therefore it may be difficult or time-consuming to...
The concepts of virtues and vices have a long history. This paper discusses their medieval metaphorical and allegorical representations as examples of knowledge visualizations, and compares them against the criteria put forward for the use of contemporary knowledge visualizations. It is found that these medieval visualizations exhibit all the essential traits expected of knowledge visualizations,...
The proliferation of touch sensitive display screens has created a new generation of human-computer interaction styles which are so natural and common that even the youngest of users now perceive ordinary static media like a glossy magazine as a broken iPad. The volume of users who expect to be able to pinch, grab, twist and manipulate images on screen is rapidly growing; they drive a renewed interest...
We describe a tool to analyze unlinked documents by visualizing networks extracted using textual analysis. Our focus is on developing an interactive visual analytics tool that enables a user to interactively observe data to detect features of the documents that may be known or unknown in advance. We have tested our tool using two data sets, one consisting of 1000 documents and the other of 360 documents...
Nowadays World Wide Web makes use of Human Interactive Proofs and CAPTCHA to distinguish legitimate users from bots. This paper presents an overview of current systems and their weaknesses and proposes a unified theory for a multilingual handwriting CAPTCHA. We further describe our French and Spanish CAPTCHAs, as an extension to the English version, with the potential of being more useful on websites...
Visualization techniques have proved to be valuable tools to support textual data exploration. Dimensionality reduction techniques have been widely used to produce visual representation of document collections. Focusing on multidimensional projection techniques, good visual results are produced depending on how representative terms to discriminate the documents are chosen to compose the vector space...
Partial differential equation-based surface modelling is a new approach of creating and manipulating three-dimensional geometric models. It uses the solution to a vector-valued partial differential equation subjected to suitably defined boundary constraints to carry out surface modeling. This paper provides a survey on this approach which summarizes various mathematical models of partial differential...
Underground caves and its specific structures are important for geomorphological studies. In this paper we present tools to identify and map speleothems by surveying cave chambers interiors. The cave chamber was surveyed using Terrestrial Laser Scanning to acquire point clouds with high level of detail for 3D model generation. This data with 45 million points is useful for either reconstruction, geomorphological...
In this paper we describe the design, development, formative evaluation and initial findings of one level of a serious game whose objective is to teach Information Assurance concepts to undergraduate students in introductory programming courses. The game level focuses on the concept of 'operator precedence'. The player travels through a multilevel 3- dimensional maze and at each junction in the maze...
In this paper we would like to suggest a modification of data vases visualization that can help understanding complex data where each subject is described by a vector of synchronized signals taken in the same time intervals. The advantages of our new approach were verified when visualizing set of Brdicka curves and answering an interesting question raised in proteomics about the Brdicka curves proportionality.
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