In a computerized society, the volume of data grows unexpectedly, making their processing time a very difficult task. A priority has become the processing of data in useful information and knowledge. Thus we can say that data mining is a…

The apparition of Fuzzy Logic has had a double repercussion on scientific research, and has provoked two types of reactions. From a theoretical point of view, it is indeed a very usefulgeneralization of the classical Set Theory proposed by Boole…

Pattern recognition aims to classify data (patterns) based ei-ther on a priori knowledge or on statistical information extracted from the data. In this paper we will concentrate on statistical pattern recognition using a new probabilistic approach which makes possible to…

This paper presents three data mining techniques appliedon a SCADA system data repository: Naijve Bayes, k-Nearest Neighbor and Decision Trees. A conclusion that k-Nearest Neighbor is a suitable method to classify the large amount of data considered is made finally…

The proposed transformation module performs mapping be-tween two di®erent knowledge representation forms used in grammar induction systems. The kernel knowledge representation form is a special predicate centered conceptual graph called ECG. The ECG provides a semantic-based, language independent description of…

Artificial Intelligence (AI) is a branch of computer science concerned with making computers behave like humans. At least this was the original idea. However, it turned out that this is no task easy to be solved. This article aims to…

What is the relationship between the complexity of a learnerand the randomness of his mistakes? This question was posed in [4] who showed that the more complex the learner the higher the possibility that his mistakes deviate from a true…