Applying Rough Set Theory for Digital Forensics Evidence Analysis

Author:

Gupta Khushi,Jinad Razaq,Bing Zhou

Publisher

Springer Nature Switzerland

Reference32 articles.

1. Digforasp - digital forensics: evidence analysis via intelligent systems and practices. https://www.umu.se/en/research/projects/ca17124–digital-forensics-evidence-analysis-via-intelligent-systems-and-practices/

2. UCI machine learning repository: spambase data set. https://archive.ics.uci.edu/ml/datasets/Spambase

3. Feature selection in python sklearn (2020). https://www.datacamp.com/community/tutorials/feature-selection-python

4. An introduction to particle swarm optimization (PSO) algorithm (2021). https://www.analyticsvidhya.com/blog/2021/10/an-introduction-to-particle-swarm-optimization-algorithm/

5. Abbas, Z., Burney, S.: A survey of software packages used for rough set analysis. J. Comput. Commun. 4, 10–18 (2016). https://doi.org/10.4236/jcc.2016.49002

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