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| Author(s): |
Danilo Medeiros Eler
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2011-03-18 |
| Examining board members: |
Rosane Minghim;
Carla Maria Dal Sasso Freitas;
Maria Cristina Ferreira de Oliveira;
Alejandro César Frery Orgambide;
Ricardo da Silva Torres
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| Advisor: | Rosane Minghim |
| Abstract | |
Currently, various fields of application need effective mechanisms to analyse data differing in nature. Typically these data are abstract, unstructured and multidimensional (e.g. document collections). Data that do not present multidimensional description can be represented as such by means of feature extraction algorithms (e.g. image collections). Thus, information visualization techniques designed to interpret multidimensional data sets can be employed to analyse unstructured data. This thesis employed information visualization techniques that build similarity maps from multidimensional data as a form of data representation, since the techniques to construct them have evolved lately with expanding fields of application. Novel techniques for coordination of multiple views were developed that allow exploration of data sets, from similarity maps generated using different techniques for building maps, different parameters or even different data sets. The developed coordination techniques are based on identity relationships, on distance relationships, on topic coverage (for text or other annotated data) and on evolution of topic coverage (also for text). An approach to combine different coordination techniques was also developed. This thesis also reports on applications of the coordination techniques developed, and on tools built for analysis of image, text and volumetric data employing coordinated similarity maps. The techniques developed in this work are supported by a coordination model that extends a model previously proposed in literature. The extended model allows the definition and configuration of coordination techniques during coordination tasks and performing various types of mappings. An important feature of the model is to support the development of dynamic mappings, which are mappings that may change behavior according to user interaction. As a result of this thesis, a framework is available for coordinated visualization of multiple similarity maps, composed by a model, a set of techniques and a set of implemented tools that effectively support the visual analysis of multidimensional data sets (AU) | |
| FAPESP's process: | 07/04241-1 - Coordinated and multiple views for exploration of document maps |
| Grantee: | Danilo Medeiros Eler |
| Support Opportunities: | Scholarships in Brazil - Doctorate |