NLSDF FOR BOOSTING THE RECITAL OF WEB SPAMDEXING CLASSIFICATION
ICTACT Journal on Soft Computing, 2016 Spamdexing is the art of black hat SEO. Features which are more influential for high rank and visibility are manipulated for the SEO task. The motivation behind the work is utilizing the state of the art Website optimization features to enhance the ...
S.K. Jayanthi, S.Sasikala
doaj +4 more sources
Machine Learning Methods for Spamdexing Detection [PDF]
International Journal of Advanced Computer Science and Applications, 2016 In this paper, we present recent contributions for the battle against one of the main problems faced by search engines: the spamdexing or web spamming. They are malicious techniques used in web pages with the purpose of circumvent the search engines in order to achieve good visibility in search results.
ALMEİDA, Tiago +2 more
openaire +3 more sources
Clique-Attacks Detection in Web Search Engine for Spamdexing using K-Clique Percolation Technique [PDF]
International Journal of Machine Learning and Computing, 2012 Search engines make the information retrieval task easier for the users. Highly ranking position in the search engine query results brings great benefits for websites. Some website owners interpret the link architecture to improve ranks. To handle the search engine spam problems, especially link farm spam, clique identification in the network structure
S. K. Jayanthi, S. Sasikala
openaire +3 more sources
M-estimation activation functions for high-performance extreme learning machine ensemble classification [PDF]
Scientific ReportsMachine learning plays a pivotal role in addressing real-world challenges across domains such as cybersecurity, where AI-driven methods, especially in Software-Defined Networking, enhance traffic monitoring and anomaly detection.
Fathi Alimi +5 more
doaj +2 more sources
An Improved Framework for Content‐ and Link‐Based Web‐Spam Detection: A Combined Approach
Complexity, Volume 2021, Issue 1, 2021., 2021 In this modern era, people utilise the web to share information and to deliver services and products. The information seekers use different search engines (SEs) such as Google, Bing, and Yahoo as tools to search for products, services, and information.
Asim Shahzad +4 more
wiley +1 more source
WSF2: A Novel Framework for Filtering Web Spam
Scientific Programming, Volume 2016, Issue 1, 2016., 2016 Over the last years, research on web spam filtering has gained interest from both academia and industry. In this context, although there are a good number of successful antispam techniques available (i.e., content‐based, link‐based, and hiding), an adequate combination of different algorithms supported by an advanced web spam filtering platform would ...
J. Fdez-Glez +6 more
wiley +1 more source
REPTREE CLASSIFIER FOR IDENTIFYING LINK SPAM IN WEB SEARCH ENGINES [PDF]
ICTACT Journal on Soft Computing, 2013 Search Engines are used for retrieving the information from the web. Most of the times, the importance is laid on top 10 results sometimes it may shrink as top 5, because of the time constraint and reliability on the search engines.
S.K. Jayanthi, S. Sasikala
doaj
WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora. [PDF]
Sensors (Basel), 2017 Callón M +6 more
europepmc +1 more source
Keywords, discoverability, and impact. [PDF]
J Med Libr Assoc, 2015 Bekhuis T.
europepmc +1 more source
Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers. [PDF]
PLoS One, 2016 Alsaleh M, Alarifi A.
europepmc +1 more source