In this contribution, different proposals found in the specialized literature for the application
of evolutionary computation to the field of information retrieval will be reviewed. To do so …

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 …

We present how computing with words, meant as a set of fuzzy-logic-based tools for an
effective and efficient handling of imprecise elements of natural language, can be …

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 …

Genetic programming, a form of genetic algorithm, has begun to be applied to a fuzzy
information retrieval system in order to improve the formulation of weighted Boolean queries …

In this chapter an overview of the application of fuzzy set theory to soften Information
Retrieval Systems is presented. It starts with the description of the main functionalities of an …

The use of the computing with words paradigm for the automatic text documents
categorization problem is discussed. This specific problem of information retrieval (IR) …

Relevance feedback techniques have demonstrated to be a powerful means to improve the
results obtained when a user submits a query to an information retrieval system as the world …

We present an approach to a Genetic Information Retrieval Agent Filter (GIRAF) for
documents from the Internet using a genetic algorithm (GA) with fuzzy set genes to learn 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 …