Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Keyhanipour:2013:FUSION,
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author = "Amir Hosein Keyhanipour and Behzad Moshiri",
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title = "Designing a web spam classifier based on feature
fusion in the Layered Multi-population Genetic
Programming framework",
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booktitle = "16th International Conference on Information Fusion
(FUSION 2013)",
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year = "2013",
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month = "9-12 " # jul,
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pages = "53--60",
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keywords = "genetic algorithms, genetic programming, Web, Spam,
Classifier, Layered Multi-Population",
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URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6641335",
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abstract = "Nowadays, Web spam pages are a critical challenge for
Web retrieval systems which have drastic influence on
the performance of such systems. Although these systems
try to combat the impact of spam pages on their final
results list, spammers increasingly use more
sophisticated techniques to increase the number of
views for their intended pages in order to have more
commercial success. This paper employs the recently
proposed Layered Multi-population Genetic Programming
model for Web spam detection task as well application
of correlation coefficient analysis for feature space
reduction. Based on our tentative results, the designed
classifier, which is based on a combination of easy to
compute features, has a very reasonable performance in
comparison with similar methods.",
-
notes = "Also known as \cite{6641335}",
- }
Genetic Programming entries for
Amir Hosein Keyhanipour
Behzad Moshiri
Citations