Scientific Programming / 2016 / Article / Alg 4

Research Article

WSF2: A Novel Framework for Filtering Web Spam

Algorithm 4

WSF2 filter definition for C5.0 and SVM algorithms working as a unique classifier.
() web_features SVM check_svm()
() describe SVM Classifies a web page as spam using Support Vector Machine classifier
() score SVM 5
()
() web_features TREE_00 check_tree(0.0, 0.25)
() describe TREE_00 Classifies a web page as spam if C5.0 probability is between 0.0 and 0.25
() score TREE_00 −1
()
() web_features TREE_25 check_tree(0.25, 0.50)
() describe TREE_25 Classifies a web page as spam if C5.0 probability between 0.25 and 0.50
() score TREE_25 3
()
() web_features TREE_50 check_tree(0.50, 0.75)
() describe TREE_50 Classifies a web page as spam if C5.0 probability between 0.50 and 0.75
() score TREE_50 4
()
() web_features TREE_75 check_tree(0.75, 1.00)
() describe TREE_75 Classifies a web page as spam if C5.0 probability between 0.75 and 1
() score TREE_75 5
()
() required_score 5

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