Multiple Visual Representation of Temporal Data

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 de...

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Bibliographic Details
Published inDatabase and Expert Systems Applications pp. 701 - 709
Main Authors Daassi, Chaouki, Fauvet, Marie-Christine, Nigay, Laurence
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2002
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Computer science; control theory; systems
Data Analysis
Exact sciences and technology
Information systems. Data bases
Memory organisation. Data processing
Software
Temporal Data
Visualisation Techniques
Data analysis
Statistical analysis
Query
Banking
Temporal databases
Program analysis
Task analysis
Visual task
Visual perception
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Summary: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.
ISBN:9783540441267
3540441263
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-46146-9_69