An in-depth experimental study of anomaly detection using gradient boosted machine

An effective combining classifier approach using tree algorithms for network intrusion detection

(2016) Jasmin Kevric et al.   NEURAL COMPUTING & APPLICATIONS

Two-tier network anomaly detection model: a machine learning approach

(2015) Hamed Haddad Pajouh et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Decision tree based light weight intrusion detection using a wrapper approach

(2011) Siva S. Sivatha Sindhu et al.   EXPERT SYSTEMS WITH APPLICATIONS

New class-dependent feature transformation for intrusion detection systems

(2011) Mehdi Mohammadi et al.   Security and Communication Networks

Classification and regression trees

(2011) Wei-Yin Loh   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Intrusion detection using neural based hybrid classification methods

(2010) M. Govindarajan et al.   Computer Networks

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES

Classifier ensembles: Select real-world applications

(2007) Nikunj C. Oza et al.   Information Fusion

Intrusion detection in computer networks by a modular ensemble of one-class classifiers

(2006) Giorgio Giacinto et al.   Information Fusion