期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：12
页码：171-176
DOI：10.14257/ijseia.2014.8.12.16
出版社：SERSC
摘要：This thesis presents an improved algorithm of v-SVDD that detects outliers in documents. The existing algorithms produce a virtual modulation vector with all elements of a power set of a feature vector from a document, and the virtual modulation vector may include vectors that do not reflect true characteristics of the document. To address the issue, this study proposes an enhanced version of the v-SVDD algorithm that produces a more precise virtual modulation vector. Test results run by this new algorithm in this paper show excellent precision in detecting leakage of tampered documents.
