# KDD-CUP99-Modeling

**Repository Path**: IOEvan/KDD-CUP99-Modeling

## Basic Information

- **Project Name**: KDD-CUP99-Modeling
- **Description**: a project for learning classification algorithms based on the KDD CUP99 Datasets
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-11-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Please feel free to investigate different algorithms for the anomaly detection on the [kddcup99](http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html) datasets.

* Machine learning classfiers (e.g. SVM,TSVM,Radom Forrest,RNN,etc.) in Python or Matlab;
* [AIS algorithms](http://www.artificial-immune-systems.org/algorithms.shtml) (e.g. NSA,Negative Selection Algorithms) in Python or Matlab;


Finally, conclude a comparation for the different algorithms.