Assessing Documents' Credibility with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Palotti:2011:ADCwGP,

• title = "Assessing Documents' Credibility with Genetic Programming",
• author = "Joao Palotti and Thiago Salles and Gisele L. Pappa and Marcos A. Goncalves and Wagner {Meira, Jr.}",
• pages = "200--207",
• booktitle = "Proceedings of the 2011 IEEE Congress on Evolutionary Computation",
• year = "2011",
• editor = "Alice E. Smith",
• month = "5-8 " # jun,
• address = "New Orleans, USA",
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, authorship, automatic document classification, citations, classifier, document credibility assessing, structural metrics, citation analysis, document handling, pattern classification",
• DOI = "doi:10.1109/CEC.2011.5949619",
• abstract = "The concept of example credibility evaluates how much a classifier can trust an example when building a classification model. It is given by a credibility function, estimated according to a series of factors that influence the credibility of the examples, and is context- dependent. Here we deal with automatic document classification, and study the credibility of a document according to three factors: content, authorship and citations. We propose a genetic programming algorithm to estimate the credibility of training examples, which is then added to a credibility-aware classifier. For that, we model the authorship and citation data as a complex network, and select a set of structural metrics that can be used to estimate credibility. These metrics are then merged with other content-related ones, and used as terminals for the GP. The GP was tested in a subset of the ACM-DL, and results showed that the credibility-aware classifier obtained results of micro and macroF_1 from 5percent to 8percent better than the traditional classifiers.",
• notes = "CEC2011 sponsored by the IEEE Computational Intelligence Society, and previously sponsored by the EPS and the IET.",

}

Genetic Programming entries for Joao Palotti Thiago Cunha de Moura Salles Gisele L Pappa Marcos Andre Goncalves Wagner Meira

Citations