Imbalanced Data Detection Kernel Method in Closed Systems
Youli Lu, Jun Luo
Available Online May 2014.
- https://doi.org/10.2991/iccia.2012.102How to use a DOI?
- component, Kernel Method, SVDD, Imbalaced Classification,
- Under the study of Kernel Methods, this paper put forward two improved algorithm which called R-SVM & I-SVDD in order to cope with the imbalanced data sets in closed systems. R-SVM used K-means algorithm clustering space samples while I-SVDD improved the performance of original SVDD by imbalanced sample training. Experiment of two sets of system call data set shows that these two algorithms are more effectively and R-SVM has a lower complexity.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Youli Lu AU - Jun Luo PY - 2014/05 DA - 2014/05 TI - Imbalanced Data Detection Kernel Method in Closed Systems BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 423 EP - 428 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.102 DO - https://doi.org/10.2991/iccia.2012.102 ID - Lu2014/05 ER -