کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
485623 703332 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comprehensive Literature Review on Machine Learning Structures for Web Spam Classification
ترجمه فارسی عنوان
بررسی جامع ادبیات در مورد سازه های یادگیری ماشین برای طبقه بندی اسپم وب
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

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 machine learning algorithms comparison within the Web spam detection community. Several machine learning algorithms and ensemble meta-algorithms as classifiers, area under receiver operating characteristic as performance evaluation and two public available datasets (WEBSPAM-UK2006 and WEBSPAM-UK2007) were experimented in this study. The results have shown that random forest with variations of AdaBoost had achieved 0.937 in WEBSPAM-UK2006 and 0.852 in WEBSPAM-UK2007.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 70, 2015, Pages 434-441