Off-Topic Detection Using Association Analysis
Xiaorui Wei · Journal of Dongguan University of Technology · 2010
Due to the openness,not all information on the Internet is good,so we must effectively monitor the publish,dissemination and access of harmful information.Off-topic detection refers to detecting illegitimate access according to topic relevance to users'predefined area of interest.Hyperclique patterns are a special type of frequent itemsets that are constrained by group similarity.Along this line,this paper proposes an off-topic detection method using association analysis.Finally,we briefly introduce its application to a prototype system.