Conceptual model for adaptable and extensible visual data exploration
Nenhuma Miniatura disponível
Data
2004-12-01
Autores
De Oliveira, Maria Cristina Ferreira
Shimabukuro, Milton Hirokazu [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process more understandable. Though visual representations are applicable to several stages of the knowledge discovery process, a common use of visualization is in the initial stages to explore and organize a sometimes unknown and complex data set. In this context, the integrated and coordinated - that is, user actions should be capable of affecting multiple visualizations when desired - use of multiple graphical representations allows data to be observed from several perspectives and offers richer information than isolated representations. In this paper we propose an underlying model for an extensible and adaptable environment that allows independently developed visualization components to be gradually integrated into a user configured knowledge discovery application. Because a major requirement when using multiple visual techniques is the ability to link amongst them, so that user actions executed on a representation propagate to others if desired, the model also allows runtime configuration of coordinated user actions over different visual representations. We illustrate how this environment is being used to assist data exploration and organization in a climate classification problem.
Descrição
Palavras-chave
Information Visualization Environment, Knowledge Discovery, Visual Data Exploration and Analysis, Data reduction, Image analysis, Image quality, Knowledge acquisition, Learning systems, Vision, Information visualization environment, Knowledge discovery, Visual data exploration and analysis, Visualization tools, Interactive computer graphics
Como citar
Proceedings of SPIE - The International Society for Optical Engineering, v. 5295, p. 212-222.