To the problems higher rate of falseretrieval in anomaly detection system due to the uncertainty of intrusion, this paper presents an Anomaly Detection Model Based on Q- Learning Algorithm (QLADM).
We can judge the true or false periodicals by way of Internet information retrieval.
我们可以通过网络信息检索法来判断期刊真假。
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The results of the experiment show that the algorithm proposed can not only detect those false expansion terms but also improve and enhance the information retrieval performance.