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 …

In this paper, we present a Fuzzy Relational Databases model whose main characteristics
are: the integration of previous models in the same framework, representation capabilities …

The main aim of this paper is to present a revision of the most relevant results about the use
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

The manipulation of databases is an integral part of a world which is becoming increasingly
and pervasively information-focused. This book puts forward a suggestion to advocate …

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 …

This paper shows the necessary elements for the effective implementation of the
generalized fuzzy relational database model. From the model described in Medina et …

This chapter will present the use of fuzzy set theory in databases. Particular emphasis is on
the relational data model and possibility and similarity based approaches to representation …

In this paper, the use of an evolutionary approach when obtaining linguistic summaries from
time series data is proposed. We assume the availability of a hierarchical partition of the time …