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Update README.md
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README.md
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@@ -27,8 +27,8 @@ The features are a combination of X.509 certificate features, RFC5280 compliance
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and other attributes intended to be used for clustering, features analysis, and a base for supervised learning tasks (labels not included).
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Some rows may contain nan values as well and as such could require additional pre-processing for certain tasks.
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This project part of Venafi Athena
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to
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## Data Structure
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The extracted features are contained in the Data folder as certificateFeatures.csv.gz. The unarchived data size is
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![](ClusterAnalysis/clusters3d.png)
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## Contact
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Please contact
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## References and Acknowledgement
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The following papers provided inspiration for this project:
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and other attributes intended to be used for clustering, features analysis, and a base for supervised learning tasks (labels not included).
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Some rows may contain nan values as well and as such could require additional pre-processing for certain tasks.
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This project is part of Venafi Athena. Venafi is committed to enabling the data science community to increase the adoption of machine learning techniques
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to identify machine identity threats and solutions. Phillip Maraveyias is the lead researcher for this dataset.
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## Data Structure
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The extracted features are contained in the Data folder as certificateFeatures.csv.gz. The unarchived data size is
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![](ClusterAnalysis/clusters3d.png)
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## Contact
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Please contact athena-community@venafi.com if you have any questions about this dataset.
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## References and Acknowledgement
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The following papers provided inspiration for this project:
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