As today the amount of accessible information is overwhelming, the intelligent and
personalized filtering of available information is a main challenge. Additionally, there is a …

In recent years evolutionary and immune-inspired approaches have been applied to content-
based and collaborative filtering. These biologically inspired approaches are well suited to …

Current manual techniques of static reverse engineering are inefficient at providing semantic
program understanding. We have developed an automated method to categorize …

La sobrecarga de información ha sido un problema ampliamente tratado entre la
comunidad cientıfica de las áreas de recuperación y filtrado de información. Un investigador …

Text learning is the problem of applying machine learning to extracting useful information
from large amounts of textual data. It is important in both information retrieval and statistical …

In nowadays easy to produce and publish information society, filtering services have to be
able to simultaneously search in many potentially relevant distributed sources, and to …

Adaptive Information Filtering seeks a solution to the problem of information overload
through a tailored representation of the user's interests, called user profile, which constantly …

A great easiness to produce and publish information has influenced that users typically have
to search numerous distributed sources while satisfying their needs. Besides, they exhibit …

Η παρούσα διπλωματική εργασία, όπως προδίδει ο τίτλος της, διερευνά την εφαρμογή των
εξελικτικών αλγορίθμων στον τομέα του Προσαρμοστικού Φιλτραρίσματος της Πληροφορίας …