Specializing CRISP-DM for Evidence Mining

@inproceedings{Venter2007SpecializingCF,
  title={Specializing CRISP-DM for Evidence Mining},
  author={Jacobus Venter and A. D. Waal and C. Willers},
  booktitle={IFIP Int. Conf. Digital Forensics},
  year={2007}
}
Forensic analysis requires a keen detective mind, but the human mind has neither the ability nor the time to process the millions of bytes on a typical computer hard disk. Digital forensic investigators need powerful tools that can automate many of the analysis tasks that are currently being performed manually. 
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References

SHOWING 1-10 OF 38 REFERENCES
Exploring Big Haystacks
  • 12
  • PDF
Investigative Data Mining for Security and Criminal Detection
  • 203
  • PDF
Crime data mining: a general framework and some examples
  • 504
  • PDF
Forensic feature extraction and cross-drive analysis
  • 127
  • PDF
Emerging standards for data mining
  • 71
  • PDF
Knowledge based crime scenario modelling
  • 60
Advanced Methods for Knowledge Discovery from Complex Data
  • 65
CRISP-DM 1.0: Step-by-step data mining guide
  • 829
  • PDF
Finite state machine approach to digital event reconstruction
  • 109
  • PDF
...
1
2
3
4
...