While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

Quantified sentences are a very powerful notion for modelling statements in Natural
Language (NL), but in practice they have been used to solve several problems. This paper is …

Association rules are considered to be the best studied models for data mining. In this
article, we propose their use in order to extract knowledge so that normal behavior patterns …

The theory of fuzzy sets has been recognized as a suitable tool to model several kinds of
patterns that can hold in data. In this paper, we are concerned with the development of a …

From a linguistic perspective, it is quanti? cation which makes all the di?-ence between
“having no dollars” and “having a lot of dollars”. And it is the meaning of the quanti? er …

Fierce competition in the global market forces companies to satisfy all aspects of customers'
needs during the product design stage. Among the customers' needs, affective needs are …

Text mining is an increasingly important research field because of the necessity of obtaining
knowledge from the enormous number of text documents available, especially on the Web …

In this work we introduce a new approach to linguistic summarization of time series based
on the use of a fuzzy hierarchical partition of the time dimension and the evaluation of …

In this paper we describe a non-nested level-based representation of fuzziness, closely
related to some existing models and concepts in the literature. Our objective is to motivate …

The discovery of new knowledge by mining medical databases is crucial in order to make an
effective use of stored data, enhancing patient management tasks. One of the main …