This work presents an overview of the text mining area, considering the most common
techniques, and including proposals based on the application of fuzzy sets. Besides, some …

Expert's knowledge base systems are not effective as a decision-making aid for physicians
in providing accurate diagnosis and treatment of heart diseases due to vagueness in …

In this paper, a case study on the role of fuzzy logic (FL) in data mining and machine
learning is carried out. It is outlined that, in order to draw more attention of data-mining and …

Looking for associations in data is one of the data mining tasks that has aroused more
interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in …

In data mining approaches, quantitative attributes should be appropriately dealt with as well
as Boolean attributes. This paper presents an essential improvement for extracting fuzzy …

Background Last years' mapping of diverse genomes has generated huge amounts of
biological data which are currently dispersed through many databases. Integration of the …

In this paper, we present an application of association rules to query refinement. Starting
from an initial set of documents retrieved from the web, text transactions are constructed and …

Applying classical association rule extraction framework on fuzzy datasets leads to an
unmanageably highly sized association rule sets. Moreover, the discretization operation …

Many papers have addressed the task of proposing a set of convenient axioms that a good
rule interestingness measure should fulfil. We provide a new study of the principles …

Enterprise Resource Planning (ERP) is an enterprise information system designed to
coordinate resources, information, and all activities required for a complete business …