GitHub - XLab-Tongji/KDD-CUP99-Modeling: a project for learning classification algorithms based on the KDD CUP99 Datasets

Please feel free to investigate different algorithms for the anomaly detection on the kddcup99 datasets.

Machine learning classfiers (e.g. SVM,TSVM,Radom Forrest,RNN,etc.) in Python or Matlab;
AIS algorithms (e.g. NSA,Negative Selection Algorithms) in Python or Matlab;

Finally, conclude a comparation for the different algorithms.

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
clearwater实验		clearwater实验
data		data
.DS_Store		.DS_Store
KDD Cup 1999 Data.html		KDD Cup 1999 Data.html
KDD-CUP-99 Task Description.html		KDD-CUP-99 Task Description.html
README.md		README.md
host_dataset_1.ipynb		host_dataset_1.ipynb
host_dataset_2.ipynb		host_dataset_2.ipynb
host_dataset_2_2.ipynb		host_dataset_2_2.ipynb
host_dataset_2_new.ipynb		host_dataset_2_new.ipynb
kddcup.names.txt		kddcup.names.txt
read_data_test.ipynb		read_data_test.ipynb
training_attack_types.txt		training_attack_types.txt

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