A Biomimetic Approach Based on Immune Systems for Classification of   Unstructured Data
  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. 
Mohamed Hamou, Abdelmalek Amine and Ahmed Chaouki Lokbani
cs.AI