Using Machine Learning Algorithms For Analysis Of Spam And Its Detection

Kumar Jayantilal Parmar , Chintan B. Thacker

Machine learning, Spamdexing, cloaking, link spam, content spam, C4.5, Naive bayes, LAD tree, decision tree, Random forest, Web search engine, attribute selection.

Web spam is one of the major problems of search engines because it reduces the quality of the Web page. Web spam also effects economically because spammers provide a large free advertising data or sites on the search engines and so an increase in the web traffic. There are certain ways to distinguish such spam pages and one of them is using classification techniques. Comparative analysis of web spam detection using machine learning algorithm like LAD Tree, and Random Forest, C4.5 and Naive bayes have been presented in this paper. Experiments were carried out on feature sets of universally accepted dataset WEB SPAM UK-2007 using WEKA. By observing all the results we found that Random forest works well on content based features, link based features and transformed link based features. But few techniques were found time consuming as compared to other classification techniques used.

Published Paper   E-Certificate

"Using Machine Learning Algorithms For Analysis Of Spam And Its Detection", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 10, page no.191 - 194, October-2016, Available :https://ijsdr.org/papers/IJSDR1610032.pdf

Volume 1 Issue 10, October-2016

Pages : 191 - 194

Paper Reg. ID: IJSDR_160882

Published Paper Id: IJSDR1610032

Downloads: 000347220

Research Area: Engineering

Country: Bhuj - Kachchh, Gujarat, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1610032

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1610032

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition