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A Genetic Programming Approach to Geometrical Digital Content Modeling in Web Oriented Applications

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  • Dragos PALAGHITA

Abstract

The paper presents the advantages of using genetic techniques in web oriented problems. The specific area of genetic programming applications that paper approaches is content modeling. The analyzed digital content is formed through the accumulation of targeted geometrical structured entities that have specific characteristics and behavior. The accumulated digital content is analyzed and specific features are extracted in order to develop an analysis system through the use of genetic programming. An experiment is presented which evolves a model based on specific features of each geometrical structured entity in the digital content base. The results show promising expectations with a low error rate which provides fair approximations related to analyzed geometrical structured entities.

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  • Dragos PALAGHITA, 2011. "A Genetic Programming Approach to Geometrical Digital Content Modeling in Web Oriented Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(1), pages 31-47.
    • Handle: RePEc:aes:infoec:v:15:y:2011:i:1:p:31-47
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    1. Iuliana BOTHA & Anda VELICANU & ªtefan OLARU, 2009. "E-Learning Strategies In The Context Of Knowledge Society," Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 6-7 2009 7, Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", DEPARTMENT FOR MANAGEMENT OF THE DEFENCE RESOURCES AND EDUCATION.
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