DocumentCode :
1586704
Title :
Using visualization techniques in knowledge discovery process for decision making
Author :
Ben Mohamed, Ezzeddine ; Ltifi, Hela ; Ben Ayed, Mounir
Author_Institution :
REGIM: Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
fYear :
2013
Firstpage :
93
Lastpage :
98
Abstract :
The presence of large quantities of temporal data requires interactive analysis for decision-making. Interactive decision support system (DSS) based on knowledge discovery in databases (KDD) process proves to be useful. Temporal data visualization techniques are used in the KDD stages to increase the user participation as well as its confidence in the result in order to improve the decision support quality. Our applicative context is the fight against nosocomial infections in the intensive care unit.
Keywords :
data mining; data visualisation; decision support systems; medical administrative data processing; DSS; KDD process; decision support quality; decision support system; intensive care unit; knowledge discovery in databases; knowledge discovery process; nosocomial infections; temporal data visualization techniques; user confidence; user participation; Antibiotics; Biology; Context; Data mining; Market research; Semantics; Visualization; Decision Support Systems; Knowledge Discovery in Databases; Nosocomial Infections; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2013 13th International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-1-4799-2438-7
Type :
conf
DOI :
10.1109/HIS.2013.6920462
Filename :
6920462
Link To Document :
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