Assessing Documents' Credibility with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Palotti:2011:ADCwGP,
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title = "Assessing Documents' Credibility with Genetic
Programming",
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author = "Joao Palotti and Thiago Salles and Gisele L. Pappa and
Marcos A. Goncalves and Wagner {Meira, Jr.}",
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pages = "200--207",
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booktitle = "Proceedings of the 2011 IEEE Congress on Evolutionary
Computation",
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year = "2011",
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editor = "Alice E. Smith",
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month = "5-8 " # jun,
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address = "New Orleans, USA",
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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ISBN = "0-7803-8515-2",
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keywords = "genetic algorithms, genetic programming, authorship,
automatic document classification, citations,
classifier, document credibility assessing, structural
metrics, citation analysis, document handling, pattern
classification",
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DOI = "doi:10.1109/CEC.2011.5949619",
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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.",
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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