Mohamed Hamou

1paper

1 Paper

AIOct 25, 2012
A Biomimetic Approach Based on Immune Systems for Classification of Unstructured Data

Mohamed Hamou, Abdelmalek Amine, Ahmed Chaouki Lokbani

In this paper we present the results of unstructured data clustering in this case a textual data from Reuters 21578 corpus with a new biomimetic approach using immune system. Before experimenting our immune system, we digitalized textual data by the n-grams approach. The novelty lies on hybridization of n-grams and immune systems for clustering. The experimental results show that the recommended ideas are promising and prove that this method can solve the text clustering problem.