DocumentCode :
2854597
Title :
A Visual Analytics Framework for the Examination Timetabling Problem
Author :
Thomas, James Jamal ; Khader, Ahamad Tajudin ; Belaton, Bahari
Author_Institution :
Sch. of Comput. Sci. Artificial Intell. Lab., Univ. Sains Malaysia, Minden
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
305
Lastpage :
310
Abstract :
The research aspiration is to develop a visual framework for the examination timetabling problem. To perform the task we identified visual analytics as a multi-disciplinary field, directly supports the timetable designers, assist with visual metaphors, patterns to make decisions. Here we deemed three stages on the problem domain. It deals with pre-processing, during the processing and post-processing; in each of the processes are with transaction on data which transform into timetables. These processes are interrelated with one another for any heuristic based, evolutionary algorithm guided timetabling systems. However, the importance aspect is the significance of visualization among the three processes and how it contributes in each process. This paper discuss two aspects, it wraps the framework with literature and an implication on the pre-processing through visualizing data and knowledge with graph visualization.
Keywords :
data visualisation; educational administrative data processing; evolutionary computation; data visualization; evolutionary algorithm; examination timetabling problem; graph visualization; visual analytics framework; visual metaphors; Artificial intelligence; Computer graphics; Data visualization; Decision making; Educational institutions; Evolutionary computation; Heuristic algorithms; Manuals; Multidimensional systems; Visual analytics; Examination Timetabling; Graph visualization; Visual analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
Conference_Location :
Penang
Print_ISBN :
978-0-7695-3359-9
Type :
conf
DOI :
10.1109/CGIV.2008.16
Filename :
4627023
Link To Document :
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