Association rules implementation for affinity analysis between elements composing multimedia objects

Fabio E. Mendoza-Palechor, Carrascal Oviedo, Emiro De-La-Hozfranco

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva


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.

Idioma originalInglés
Páginas (desde-hasta)1764-1774
Número de páginas11
PublicaciónJournal of Theoretical and Applied Information Technology
EstadoPublicada - 31 mar. 2019
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2005 – ongoing JATIT & LLS.


Profundice en los temas de investigación de 'Association rules implementation for affinity analysis between elements composing multimedia objects'. En conjunto forman una huella única.

Citar esto