In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

The large amount of data generated every day makes necessary the re-implementation of
new methods capable of handle with massive data efficiently. This is the case of Association …

The high computational impact when mining fuzzy association rules grows significantly
when managing very large data sets, triggering in many cases a memory overflow error and …

The paper proposes a method for Big data analyzing in the presence of different data
sources and different methods of processing these data. The Big data definition is given, the …

This paper presents a decision support system 'Domain Aware Text & Association Mining
(DATAM)'which has been developed to improve after-sales service and repairs for the …

A formal framework for data mining with association rules is introduced. The framework is
based on a logical calculus of association rules which is enhanced by several formal tools …

Association rules have been widely used in many application areas to extract new and
useful information expressed in a comprehensive way for decision makers from raw data …

With the exponential growth of users and user-generated content present on online social
networks, fake news and its detection have become a major problem. Through these, smear …

Data mining techniques managing imprecision are very useful to obtain meaningful and
interesting information for the user. Among some other techniques, fuzzy association rules …

In this paper we describe and discuss the main contributions of the representation by levels
approach to fuzzy data mining. Representation by levels is an alternative representation of …