Thematically Clustering In Digital Forensics Text String Searching: A Survey
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Abstract
These days’ digital crimes are increasing more rapidly than earlier days. This is because now all data is on computer and small data store devices. For text string search forensic expert use text search tool which is initially design for giving 100 percentage query recall but it fails because it leads to high number of result which is irrelevant. The similar problem is faced by search engines too, but they use ranking algorithm to get precise result. Here we try to thematically clustering our text search result. It will improve investigators ability to search more reverent result in minimum search hits.
Keywords: Investigator, recall, clustering, thematically, neural network, koheneh self-organizing map.
Keywords: Investigator, recall, clustering, thematically, neural network, koheneh self-organizing map.
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