Knowledge visualization model for intelligent dynamic decision-making

Abstract

Decision Support Systems frequently involve data mining techniques for automatic discovery of useful patterns. Using appropriate visualization techniques for displaying temporal extracted knowledge integrates users in the decision-making process. In this context, our work consists in proposing a model that supports the knowledge visualization for decision-making. Such model allows the decision-maker to quickly recognize, gain insight and interpret the knowledge in the temporal patterns representation. This proposition was applied to fight against nosocomial infections in the intensive care units to prove the viability of the proposed model.