Web Mining Techniques to Block Spam Web Sites | Zendy

M. Esraa | Zendy; A. F. | Zendy; Erin J. Hanan | Zendy

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Web Mining Techniques to Block Spam Web Sites

Author(s) -

M. Esraa,

A. F.,

Erin J. Hanan

Publication year - 2018

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2018917622

Subject(s) - computer science , block (permutation group theory) , world wide web , web application , spamdexing , web mining , database , information retrieval , data mining , the internet , web development , web page , web search engine , geometry , mathematics

The aim of this paper is to introduce a system based on web mining techniques to prevent spamming web pages. The system relies on content analysis, used features are Uniform Resource Locator(URL), Number of words in page Title, Globally Popular Keywords(GPK) and N-GRAM. The proposed system used Decision Tree(DT) rules ; which is the best classifier to detect Web spam content. It produces accuracy of .97 % in detecting spam web sites.

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