Bianchi Serique Meiguins

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Information visualization techniques have been successfully used to build visual and interactive analysis of data and data relationships. However, dimensionality, volume and diversity make it difficult for a single technique to completely solve the problem. Information visualization tools that support multiple coordinated views allow the user to better(More)
This paper presents a prototype for information visualization in an Augmented Reality environment. The prototype allows users to perform common tasks in desktop information visualization tools, such as data dynamic filters, attribute selection, semantic zoom and details on demand. Such tasks are seldom available in AR environments. We used a customized(More)
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(More)
This paper proposes the use of multiple coordinated views to support visual analytics. The Information Visualization tool PRISMA includes the implementation of three coordinated visualization techniques (treemap, parallel coordinates and scatterplot) and other auxiliary charts. The coordination is supported by filter, brushing, visual representation and(More)
The goal of this paper is to present an information visualization application capable of opening and coordinating information over two or more datasets. We have chosen this approach to address some of the limitations of various applications. Also, the application uses multiple coordinated views and multiple simultaneous datasets. We highlight the(More)
Many information visualization techniques and tools have been created to analyze and understand temporal data. However, it is noticeable that time dimension is underused in most techniques and tools, used only as an aid in the search for patterns and answers. Therefore, this paper proposes an adaptation of the treemap joined with the calendar metaphor,(More)
This paper presents EDACluster, an estimation of distribution algorithm (EDA) applied to the clustering task. EDA is an evolutionary algorithm used here to optimize the search for adequate clusters when very little is known about the target dataset. The proposed algorithm uses a mixed approach - density and grid- based - to identify sets of dense cells in(More)
This paper presents a prototype for information visualization in an augmented reality environment. The prototype allows users to perform common tasks in desktop information visualization tools, such as data dynamic filters, attribute selection, semantic zoom and details on demand. Such tasks are seldom available in AR environments. We used a customized(More)
The paper presents a prototype that implements multiple coordinated views to information visualization in augmented reality environments. Augmented reality provides more intuitive and easy interaction. It also reduces the limitations of visualization and enhances the collaborative aspect. A modified version of ARToolKit has been used to create the augmented(More)
The amount of data that must be collected for one to decide on a course of action, nowadays and in any field, is nothing if extraordinary. The three-dimensional graphic representation of data is a powerful tool for its analysis. And the possibility for interaction and browsing throughout these data makes this analysis much more interesting and productive.(More)