Mbuyi Mukendi Eugène, Kafunda Katalayi Pierre, MBELU MUTOBA Bevi

The results obtained in our paper on data mining and neural networks II provide probabilities of a complication when one factor is present [8]. Because of this, to assess the risk that one patient presents is to show one of the three kinds of complications, that is to say cerebral vascular accident , acute renal insufficiency and different heart disorders, according to the value taken by different factors simultaneously. We are going to query the model of data mining. The Language Data Mining Extensions (DMX) is used to create the structure of new models of Data Mining for learning, in other words, models must do prediction.

Keywords: Data Mining Extension, DMX request, chart, Data Mining. (Téléchargé l'article)

Kalonji Kalala Hercule,  Mbuyi Mukendi Eugène,  Boale Bomolo Paulin and Lilongo Bokaletumba Joel

In a distributed database, data replication can be used to increase reliability, and availability of data. Updating a copy should be passed automatically to all its replicas. Generally, an update of data by the peer who has a new version involves not spread to those replicating this data. No form of consistency between replicas is guaranteed. In this paper we propose the study "Replication Master-Slave", which is a way of replicating data used in a distributed database. We will do a brief overview on some principles of distributed databases. Then we will present the different types of replication, the value of using this mode of replication Master exclave. Then we will end up a banking application based on the replication Master-Slave on the Oracle 10g platform.

Keywords: Distributed Database, replication, fragmentation  (Téléchargé l'article)

Mbuyi Mukendi Eugène, Kafunda Katalayi Pierre, Mbuyi Badibanga Steve, Mbuyi Mukendi Didier

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 multilayerneural networks.

Key words: Datamining, extraction of knowledge, database,Neural Network, algorithm, high blood pressure.

Kalonji Kalala Hercule1, Mbuyi Mukendi Eugène2, MALEKANI M.Jean3, Mulopo Tona David.4, Boale Bomolo Paulin.5, Lilongo Bokaletumba Joel.6, Kabamba Ilunga Richard.7

The present study is dealing with creating an xml file which will include all information on metazoans. Then, a file written in CSS (Cascading Style Sheets) will be created to allow the display of the XML (eXtensible Markup Language) file in a web browser. That technique will be able to permit an accurate and rapid search on information on metazoans. This will permit metazoan data to be integrated easily in interoperable applications on the Internet. This paper will allow biologists to be able to accommodate all the wildlife in a web application. We have represented Metazoans in a graph. And we used that graph to create our XML file.

Keys words: xml,  css, html, metazoa (Téléchargé l'article)