Abstract
Temporal data are abundantly present in many applications such as banking, financial, clinical, geographical applications and so on. For a long time, tools for data analysis have been only based on statistics. A more recent and complementary research avenue involves visual data analysis, which is dedicated to the extraction of valuable knowledge by exploiting human visual perception capabilities. Examples of visual data analysis tasks, while manipulating temporal data, include correlating data evolution and identifying patterns. In this paper we present an interactive visualisation tool named INVEST, dedicated to visual analysis of temporal data. INVEST includes different visualisation techniques in order to address the variety of users’ tasks.
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Daassi, C., Fauvet, MC., Nigay, L. (2002). Multiple Visual Representation of Temporal Data. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_69
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DOI: https://doi.org/10.1007/3-540-46146-9_69
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