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Visualization process of Temporal Data

Abstract : Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the visualization techniques of temporal data: a wide range of visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision visualization techniques of temporal data. Addressing this problem, we present a visualization process of temporal data. We adapt the Ed Chi's visualization process to the case of temporal data. We illustrate the steps of our visualization process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our process serves as a basis for classifying existing visualization techniques and should also help the designer to address the right design questions and to envision future systems.
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https://hal.inria.fr/hal-00953923
Contributor : Marie-Christine Fauvet <>
Submitted on : Monday, March 3, 2014 - 1:07:24 PM
Last modification on : Tuesday, December 8, 2020 - 10:42:35 AM
Long-term archiving on: : Saturday, May 31, 2014 - 10:50:29 AM

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Chaouki Daassi, Laurence Nigay, Marie-Christine Fauvet. Visualization process of Temporal Data. Database and Expert Systems Applications (DEXA 2004), 2004, Zaragoza, Spain. pp.914--924. ⟨hal-00953923⟩

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