Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Feature Selection via Discretization
IEEE Transactions on Knowledge and Data Engineering
A global optimum approach for one-layer neural networks
Neural Computation
Multiclass Alternating Decision Trees
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Proportional k-Interval Discretization for Naive-Bayes Classifiers
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Results of the KDD'99 classifier learning
ACM SIGKDD Explorations Newsletter
Winning the KDD99 classification cup: bagged boosting
ACM SIGKDD Explorations Newsletter
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
The Journal of Machine Learning Research
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Consistency-based search in feature selection
Artificial Intelligence
Intrusion detection using an ensemble of intelligent paradigms
Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
Computers and Operations Research
Evaluating indirect and direct classification techniques for network intrusion detection
Intelligent Data Analysis
The class imbalance problem: A systematic study
Intelligent Data Analysis
Scalable Feature Selection for Multi-class Problems
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Searching for interacting features
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Transformations of symbolic data for continuous data oriented models
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Capturing heuristics and intelligent methods for improving micro-array data classification
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Scalability analysis of ANN training algorithms with feature selection
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
Expert Systems with Applications: An International Journal
A real time anomaly detection system based on probabilistic artificial immune based algorithm
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Toward the scalability of neural networks through feature selection
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In this work, a new method consisting of a combination of discretizers, filters and classifiers is presented. Its aim is to improve the performance results of classifiers but using a significantly reduced set of features. The method has been applied to a binary and to a multiple class classification problem. Specifically, the KDD Cup 99 benchmark was used for testing its effectiveness. A comparative study with other methods and the KDD winner was accomplished. The results obtained showed the adequacy of the proposed method, achieving better performance in most cases while reducing the number of features in more than 80%.