Learning to Detect Web Spam by Genetic Programming
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gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/waim/NiuMHWZ10,
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title = "Learning to Detect Web Spam by Genetic Programming",
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author = "Xiaofei Niu and Jun Ma and Qiang He and
Shuaiqiang Wang and Dongmei Zhang",
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booktitle = "Web-Age Information Management, 11th International
Conference, {WAIM} 2010, Jiuzhaigou, China, July 15-17,
2010. Proceedings",
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publisher = "Springer",
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year = "2010",
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volume = "6184",
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editor = "Lei Chen and Changjie Tang and Jun Yang and
Yunjun Gao",
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isbn13 = "978-3-642-14245-1",
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pages = "18--27",
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series = "Lecture Notes in Computer Science",
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URL = "http://dx.doi.org/10.1007/978-3-642-14246-8",
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DOI = "doi:10.1007/978-3-642-14246-8_5",
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keywords = "genetic algorithms, genetic programming",
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abstract = "Web spam techniques enable some web pages or sites to
achieve undeserved relevance and importance. They can
seriously deteriorate search engine ranking results.
Combating web spam has become one of the top challenges
for web search. This paper proposes to learn a
discriminating function to detect web spam by genetic
programming. The evolution computation uses
multi-populations composed of some small-scale
individuals and combines the selected best individuals
in every population to gain a possible best
discriminating function. The experiments on
WEBSPAM-UK2006 show that the approach can improve spam
classification recall performance by 26percent,
F-measure performance by 11percent, and accuracy
performance by 4percent compared with SVM.",
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bibdate = "2010-07-07",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/waim/waim2010.html#NiuMHWZ10",
- }
Genetic Programming entries for
Xiaofei Niu
Jun Ma
Qiang He
Shuaiqiang Wang
Dongmei Zhang
Citations