C4.5: programs for machine learning
C4.5: programs for machine learning
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Maximizing Text-Mining Performance
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
The Coevolution of Antibodies for Concept Learning
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
A news story categorization system
ANLC '88 Proceedings of the second conference on Applied natural language processing
A Linear Least Squares Fit mapping method for information retrieval from natural language texts
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
A new classifier based on resource limited artificial immune systems
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
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Text categorization - the assignment of texts to one or more predefined categories based on their content-represents an important component of different information organization and management tasks. Significance of text categorization leads many researchers to find more and more effective methods for this task. It has recently been shown that artificial immune system (AIS) can be successfully used in many machine learning tasks so it can be also used for text categorization task. The aim of this paper is to check applicability of AIS algorithms (Immunos-1, Immunos-2 and Immunos-2A) on text classification task. The results are compared with some classical document classification methods: naïve Bayesian classifier and K-NN classifier.