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This paper consists of a review of contemporary methods that map and materialize abstract data as physical artifacts. With computing technology and the access of information influencing every aspect of our everyday lives, one can question the current habit of information displays to dasiasimulatepsila real world metaphors, and whether information could instead be conveyed by approximating the analogue...
Ambient intelligence is a rapidly developing field producing a new generation of applications and services demanding new, more complex strategies for usability testing and evaluation. In this paper, we identify caveats of traditional methods of application usability testing when applied to an ambient intelligent environment and we introduce a method for unified analysis of user behavior using a virtual...
In this paper we address two relevant tasks in image visualisation research: layout methods for presenting content and relations within image databases; and optimal solutions for efficient use of the entire display space. We introduce a novel approach to enable users searching on large image archives to distinguish heterogeneous sets of images. Thus, helping them to navigate or browse image databases...
Web mining for open source intelligence is the retrieval, extraction and analysis of information from on-line Internet sites. There are two separate applications areas this paper will review, namely live news-monitoring and targeted topic based data mining. Most newspapers and news agencies have Web sites with live updates on unfolding events, opinions and perspectives on world events. Most governments...
The classification of an unknown item based on a training data set is a key data mining task. An important part of this process that is often overlooked is the user's comprehension of the classifier and the results it produces. Associative classifiers begin to address this issue by using sets of simple rules to classify items. However, the size of these rule sets can be an obstacle to understandability...
This paper presents a data analysis tool for mobile devices. Coordinated views are used to enhance the user's perception over data and diminish the difficulties caused by the lack of resources these mobiles present, specially when it comes to display size. The tool was totally developed in JavaME, what guarantees portability, scalability and code reuse. It presents two visualization techniques, implemented...
Based on the emergent nature of terrorist groups, we propose spatial hypertext as a tool for intelligence analysts for representing, reasoning upon, and communicating information. Furthermore, we evaluate awareness as an important feature for analysts to realise hidden associations between various people or objects. Finally, we discuss our prototype Socs, a general spatial structure application with...
In this paper, we demonstrate how cluster analysis can be used to effectively identify communities using information derived from the Call Detail Record (CDR) data. We use the information extracted from the cluster analysis to identify customer calling patterns. Customers calling patterns are then given to a classification algorithm to generate a classifier model for predicting the calling communities...
Multiple views have been put forward as an alternative to assist exploration of evolving phenomena or associations between distinct data sets or distinct presentations of a single data set. Coordinating between views is a challenge that must be met to improve visualization support for exploratory tasks. This is particularly true for high-dimensional data, such as document collections. We introduce...
This paper investigates the use of a multi-representation of a same graph in order to interactively cluster it. Both a node-link and a matrix representation of the graph are provided. The clustering technique under consideration requires parameters to be set. The matrix representation of the graph is provided in order to visually decide on the value of those parameters. The approach has been implemented...
Euler diagrams are collections of labelled closed curves. They are often used to represent information about the relationship between sets and, as such, they have numerous applications including: visualizing biological data, diagrammatic logics, and visual database querying. Various methods to automatically generate Euler diagrams have been proposed. Typically, the generation process starts with an...
Given a group of overlapping sets, it is not always possible to represent it with Euler diagrams. Euler diagram characteristics might collide with the sets relationships to depict, making it impossible to outline a correct draw. In order to be able to show a greater class of instances, Euler diagrams have been extended allowing more general patterns, but so far all the most common definitions cannot...
One of the steps in the knowledge domain visualization process is the display of the low-dimensional space in which the items under analysis are positioned. In this paper we investigate the visualization of concept associations by means of concept clustering and edge bundling, two techniques that help alleviate the cluttering caused by concept labels and edges. Hierarchical clustering is used for...
It is possible to recognize the importance of knowledge of configurative geometry for creative thinking, the scientific knowledge and the practice? Do we can attribute to a geometric knowledge a founding and fundamental role for the correct displaying of the knowledge of the cultural heritage? The answers are affirmative certainly understanding that if this knowledge not only allows manual graphics...
Although Internet and WWW phenomena are often described using spatial metaphors, the commonest means of geographic orientation - the map - is little used in online navigation. Maps of the physical world are however available online, as are maps illustrating physical Internet topography, semantic maps showing content linkages and maps of gaming environments, usually realistic simulations. Lacking an...
In this study, we proposed the use of grant application data to acquire knowledge of the relationships among scientific research subjects. We modeled grant application data to construct a method of capturing the relationships among research subjects, then conducted experiments using actual grant application data. The results indicated that our method successfully elucidated the relationships among...
In this paper we present a new approach for using semantic wikis for collaborative patent search and annotation. We describe an extension that allows integrating interactive visualizations into semantic wikis for getting deeper insights into the classificatory, geographical, and temporal distribution of large patent sets. This approach differs from typical wiki usage scenarios in the sense that it...
Information Visualization techniques have been successfully used to build visual and interactive analysis of data and data relationships. One of its possible areas of application is computer network monitoring and traffic analysis. The analysis of the internal behavior of a company with high demand for Internet services helps to determine if the company is competing with its own clients over the available...
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