Using an improved C4.5 for imbalanced dataset of intrusion

Authors:
Quan Zhou;Lin-gang Gu;Chong-jun Wang; Wang-jun;Shi-fu Chen
Affiliations:
Nanjing University, Nanjing;Jiangsu Provincial Security Bureau of PRC;Nanjing University, Nanjing;Nanjing University, Nanjing;Nanjing University, Nanjing
Venue:
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Year:
2006

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C4.5: programs for machine learning

C4.5: programs for machine learning
Data mining: practical machine learning tools and techniques with Java implementations

Data mining: practical machine learning tools and techniques with Java implementations

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Abstract

The imbalance of dataset will directly affect the precision of classifier. PC4.5, an improved C4.5 algorithm is proposed. The experiments in MIT dataset indicate that PC4.5 is effective on imbalanced dataset and the scale of the decision tree could be reduced.