SAAD, a content based Web Spam Analyzer and Detector
SAAD detects Web Spam pages based on new heuristics combined with a C4.5 classifier. The study compares SAAD and previous studies in two well known and public datasets. The paper discusses the effectiveness and efficiency of heuristics used by SAAD. SAAD achieves a precision of 0.972 and recall of 0.850. SAAD obtains results from 6 to 27 % better than the existing systems.
web spam web characterization malware data mining statistical properties of web spam