Abstract
Computer forensics is a kind of pragmatic computer technology to obtain survey and analyze the cyber crime. It mainly contains three procedures which are the obtaining, analysis and submitting of evidence. Among them, the analysis is of most importance. Due to the complex and vague characteristic of the practical data, the analysis of evidence has not achieved ideal outcome so far. The thesis applies the principal component analysis (PCA) method and the fuzzy cluster thoughts to attain a more ideal analysis result.
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Zhong, Z., Song, Q., Ni, B. (2012). Application of Fuzzy C-Means Clustering Based on Principal Component Analysis in Computer Forensics. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27314-8_2
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DOI: https://doi.org/10.1007/978-3-642-27314-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27313-1
Online ISBN: 978-3-642-27314-8
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