Application of Bagging, Boosting and Stacking to Intrusion Detection

Author:

Syarif Iwan,Zaluska Ed,Prugel-Bennett Adam,Wills Gary

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Gudadhe, M., Prasad, P., Wankhade, K.: A new data mining based network intrusion detection model. In: International Conference on Computer & Communication Technology (ICCCT 2010), pp. 731–735 (2010)

2. Schapire, R.A.: The Boosting Approach to Machine Learning An Overview. In: Nonlinear Estimation and Classification. Springer (2003)

3. Lee, K.C., Cho, H.: Performance of Ensemble Classifier for Location Prediction Task: Emphasis on Markov Blanket Perspective. International Journal of u- and e- Service, Science and Technology 3(3) (September 2010)

4. Polikar, R.: Ensemble Based Systems in Decision Making. IEEE Circuits and Systems Magazine 6(3) (2006)

5. Dietterich, T.G.: Machine learning research: Four current directions. AI Magazine 18(4), 97–136 (1997)

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