Journal of Theoretical and Applied Information Technology
Abstract
The multimedia objects are a constantly growing resource in the world wide web, consequently it has
generated as a necessity the design of methods and tools that allow to obtain new knowledge from the
information analyzed. Association rules are a technique of Data Mining, whose purpose is to search for
correlations between elements of a collection of data (data) as support for decision making from the
identification and analysis of these correlations. Using algorithms such as: A priori, Frequent Parent
Growth, QFP Algorithm, CBA, CMAR, CPAR, among others. On the other hand, multimedia applications
today require the processing of unstructured data provided by multimedia objects, which are made up of
text, images, audio and videos. For the storage, processing and management of multimedia objects,
solutions have been generated that allow efficient search of data of interest to the end user, considering that
the semantics of a multimedia object must be expressed by all the elements that composed of. In this article
an analysis of the state of the art in relation to the implementation of the Association Rules in the
processing of Multimedia objects is made, in addition the analysis of the consulted literature allows to
generate questions about the possibility of generating a method of association rules for the analysis of these
objects.Universidad de la Costa, Universidad Pontificia Bolivariana
