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Web Spam Detection Application Using Neural Network

Name: Web Spam Detection Application Using Neural Network
Brand: Scholars' Press
SKU: 06990215
Price: 41.0 EUR
Availability: InStock
Author: Goh Kwang Leng
ISBN: 9783639706048

Goh Kwang Leng

Ashutosh Kumar Singh

Lim King Hann

Language

English

Book Paperback

Libristo code: 06990215

Publishers Scholars' Press, December 2013

Web spamming has tremendously subverted the ranking mechanism of information retrieval in Web search... Full description

Libristo code: 06990215

99 b

41.00 €

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Web spamming has tremendously subverted the ranking mechanism of information retrieval in Web search engines. It manipulates data source maliciously either by contents or links with the intention of contributing negative impacts to Web search results. The altering order of the search results by spammers has increased the difficulty level of searching and time consumption for Web users to retrieve relevant information. In order to improve the quality of Web search engines results, the design of anti-Web spam technique is developed to detect Web spam using Artificial Neural Network. This alternative machine learning classifier namely multilayered perceptron neural network further improve the detection rate of Web spam. In the experiments, the detection rate of Web spam using multilayered perceptron neural network has increased up to 14.02% and 3.53% over the conventional classifier support vector machines. At the same time, a mechanism to determine the number of hidden neurons for multilayered perceptron neural network is presented to simplify the designing process of network structure.