A Genetic Programming Approach to Geometrical Digital Content Modeling in Web Oriented Applications
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Palaghita:2011:IE,
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title = "A Genetic Programming Approach to Geometrical Digital
Content Modeling in Web Oriented Applications",
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author = "Dragos Palaghita",
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journal = "Informatica Economica",
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publisher = "Inforec Association",
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year = "2011",
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volume = "15",
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issue = "1",
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pages = "31--47",
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keywords = "genetic algorithms, genetic programming, fitness,
geometrical structured entities, analysis",
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ISSN = "14531305",
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bibsource = "OAI-PMH server at www.doaj.org",
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language = "eng",
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oai = "oai:doaj-articles:4b677e38eb2209cd781614826b99a749",
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source = "Informatica Economica Journal",
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URL = "http://revistaie.ase.ro/content/57/03%20-%20Palaghita.pdf",
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URL = "http://revistaie.ase.ro/57.html",
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broken = "http://www.doaj.org/doaj?func=openurl&genre=article&issn=14531305&date=2011&volume=15&issue=1&spage=31",
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size = "17 pages",
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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 analysed digital
content is formed through the accumulation of targeted
geometrical structured entities that have specific
characteristics and behaviour. The accumulated digital
content is analysed 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.",
- }
Genetic Programming entries for
Dragos Palaghita
Citations