Supporting Decision-making for Forensic DNA Analysis in Crime Investigation using Visualization

نویسندگان

  • Noor Maizura Mohamad Noor
  • A. F. Ghazali
  • Y. M. Saman
چکیده

One of the challenging issue that scientists are facing is to have useful and effective data visualizations specifically for forensic DNA analysis in crime investigation. Concept of data visualization can then be employed into Bayesian network in order to interpret complex linking of data into interactive graphs for ease of analysis and accurate decision-making. In forensic DNA analysis, using visualization can make the activity of interpreting data and searching for details become easier and faster. The complexity of information in this field requires a good way of representation to analyze DNA profiles in crime investigation. In this paper, we show an implementation of visualizing forensic DNA analysis for suspect and unknown DNA profiles using a web prototype.

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تاریخ انتشار 2011