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 hybridizatio...

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Bibliographic Details
Published in:arXiv.org 2012-10
Main Authors: Hamou, Mohamed, Abdelmalek Amine, Ahmed Chaouki Lokbani
Format: Article
Language:English
Subjects:
Biomimetics
Clustering
Immune system
Unstructured data
Online Access:Get full text
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Summary: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.
ISSN:2331-8422