Chi-Square Test for Anomaly Detection in XML Documents Using Negative Association Rules
نویسندگان
چکیده
منابع مشابه
Chi-Square Test for Anomaly Detection in XML Documents Using Negative Association Rules
Anomaly detection is the double purpose of discovering interesting exceptions and identifying incorrect data in huge amounts of data. Since anomalies are rare events, which violate the frequent relationships among data. Normally anomaly detection builds models of normal behavior and automatically detects significant deviations from it. The proposed system detects the anomalies in nested XML doc...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2009
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v2n1p35