A Biomimetic Approach Based on Immune Systems for Classification of Unstructured Data
Artificial Intelligence
2012-10-29 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1210.7002,
title = {A Biomimetic Approach Based on Immune Systems for Classification of Unstructured Data},
author = {Mohamed Hamou and Abdelmalek Amine and Ahmed Chaouki Lokbani},
journal= {arXiv preprint arXiv:1210.7002},
year = {2012}
}
Comments
10 pages, 4 figures