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conference paper · International Conference on Multimedia Technology (ICMT) · 2011

Applications of ID3 algorithms in computer crime forensics

Yuesheng Tan, Zhansheng Qi, Jingyu Wang

Cited by 3Abstract and details only

Abstract

ID3 is a kind of classical classification algorithm of data mining. It classifies the data set which depends on the property with more value, but the selected property is not optimal. According to the particular area of computer crime forensics and the shortcomings of ID3 algorithm itself, this paper proposes an improved ID3 algorithm. It selects the best division property by improving the information gain formula, classifies the collected data and constructs decision tree. Experiments show that such decision tree includes less branches and lower height of the tree, accelerates the speed of classification and reduces space consumption.

Cite this paper

APA 7

Tan, Y., Qi, Z., & Wang, J. (2011). Applications of ID3 algorithms in computer crime forensics. International Conference on Multimedia Technology (ICMT), 4854–4857. https://doi.org/10.1109/icmt.2011.6002107

MLA 9

Tan, Yuesheng, et al. “Applications of ID3 algorithms in computer crime forensics.” International Conference on Multimedia Technology (ICMT), 2011, pp. 4854–57, https://doi.org/10.1109/icmt.2011.6002107.

Chicago

Tan, Yuesheng, Zhansheng Qi, and Jingyu Wang. 2011. “Applications of ID3 algorithms in computer crime forensics.” International Conference on Multimedia Technology (ICMT): 4854–57. https://doi.org/10.1109/icmt.2011.6002107.

Harvard

Tan, Y., Qi, Z. and Wang, J. (2011) ‘Applications of ID3 algorithms in computer crime forensics’, International Conference on Multimedia Technology (ICMT), pp. 4854–4857. Available at: https://doi.org/10.1109/icmt.2011.6002107.

BibTeX
@article{tan2011applications,
  title = {{Applications of ID3 algorithms in computer crime forensics}},
  author = {Tan, Yuesheng and Qi, Zhansheng and Wang, Jingyu},
  journal = {International Conference on Multimedia Technology (ICMT)},
  pages = {4854--4857},
  year = {2011},
  doi = {10.1109/icmt.2011.6002107}
}

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