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