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Exploring Forensic Data with Self-Organizing Maps
[chapter]
Advances in Digital Forensics
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This paper discusses the application of a self-organizing map (SOM), an unsupervised learning neural network model, to support decision making by computer forensic investigators and assist them in conducting data analysis in a more efficient manner. A SOM is used to search for patterns in data sets and produce visual displays of the similarities in the data. The paper explores how a SOM can be used as a basis for further analysis. Also, it demonstrates how SOM visualization can provide
doi:10.1007/0-387-31163-7_10
fatcat:zwoiiqea2ra7rmtfohfajsaxga