Web spam classification method based on deep belief networks
Y Li, X Nie, R Huang - Expert Systems with Applications, 2018 - Elsevier
With the development of the Internet, the number of web spam increases gradually, which
has seriously affected the user experience of search engines. To improve the classification …
has seriously affected the user experience of search engines. To improve the classification …
Comprehensive literature review on machine learning structures for web spam classification
Various Web spam features and machine learning structures were constantly proposed to
classify Web spam in recent years. The aim of this paper was to provide a comprehensive …
classify Web spam in recent years. The aim of this paper was to provide a comprehensive …
A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection
XY Lu, MS Chen, JL Wu, PC Chang… - Pattern Analysis and …, 2018 - Springer
Currently, web spamming is a serious problem for search engines. It not only degrades the
quality of search results by intentionally boosting undesirable web pages to users, but also …
quality of search results by intentionally boosting undesirable web pages to users, but also …
A dynamic model for integrating simple web spam classification techniques
J Fdez-Glez, D Ruano-Ordas, JR Méndez… - Expert Systems with …, 2015 - Elsevier
Over the last years, Internet spam content has spread enormously inside web sites mainly
due to the emergence of new web technologies oriented towards the online sharing of …
due to the emergence of new web technologies oriented towards the online sharing of …
Web spam classification: a few features worth more
In this paper we investigate how much various classes of Web spam features, some
requiring very high computational effort, add to the classification accuracy. We realize that …
requiring very high computational effort, add to the classification accuracy. We realize that …
An efficient deep learning-based scheme for web spam detection in IoT environment
From the last few years, Internet of Things has revolutionized the entire world. In this, various
smart objects perform the tasks of sensing and computing to provide uninterrupted services …
smart objects perform the tasks of sensing and computing to provide uninterrupted services …
Multilayer perceptrons neural network based web spam detection application
Web spam detection is a crucial task due to its devastation towards Web search engines and
global cost of billion dollars annually. For these reasons, a multilayered perceptrons (MLP) …
global cost of billion dollars annually. For these reasons, a multilayered perceptrons (MLP) …
Identifying web spam with the wisdom of the crowds
Combating Web spam has become one of the top challenges for Web search engines. State-
of-the-art spam-detection techniques are usually designed for specific, known types of Web …
of-the-art spam-detection techniques are usually designed for specific, known types of Web …
Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine
Spam mail classification has been playing a vital role in recent days due to the
uncontrollable growth happening in the electronic media. Literature presents several …
uncontrollable growth happening in the electronic media. Literature presents several …
[PDF][PDF] Artificial neural networks for content-based web spam detection
RM Silva, TA Almeida, A Yamakami - Proceedings on the …, 2012 - world-comp.org
Web spam has become a big problem in the lives of Internet users, causing personal injury
and economic losses. Although some approaches have been proposed to automatically …
and economic losses. Although some approaches have been proposed to automatically …