Data mining and networks neuronal: Extracting knowledge from high pressure data patients
Data mining is a set of methods and techniques for exploring and analyzing automatically or semi-automatically databases in order to detect rules, associations, unknown or hidden trends, specific structures that restore most of the useful information while reducing the amount of data.This is a process of extracting valid and tractable knowledge from large amount of data.In this paper, we present a contribution on the extraction of useful knowledge from databases on patients with high blood pressure from one of the hospital in Kinshasa (RD Congo), using multi-layerneural networks.
Keywords: Datamining, knowledge extraction, database, Neural Network, algorithm, high blood pressure.
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ABOUT THE AUTHORS
Mbuyi Mukendi Eugène
University of Kinshasa, Department of Computer Sciences, DR Congo
Kafunda Katalayi Pierre
University of Kinshasa, Department of Computer Sciences, DR Congo
Mbuyi Badibanga Steve
University of Kinshasa, Department of Computer Sciences, DR Congo
Mbuyi Mukendi Didier
University of Kinshasa, Department of Computer Sciences, DR Congo
Mbuyi Mukendi Eugène
University of Kinshasa, Department of Computer Sciences, DR Congo
Kafunda Katalayi Pierre
University of Kinshasa, Department of Computer Sciences, DR Congo
Mbuyi Badibanga Steve
University of Kinshasa, Department of Computer Sciences, DR Congo
Mbuyi Mukendi Didier
University of Kinshasa, Department of Computer Sciences, DR Congo
