An Artificial Immune System Approach to Semantic Document Classification
نویسندگان
چکیده
AIRS, a resource limited artificial immune classifier system, has performed well on elementary classification tasks. This paper proposes the use of this system for the more complex task of hierarchical, multi-class document classification. This information can then be applied to the realm of taxonomy mapping, an active research area with far reaching implications. Our motivation comes from the use of a personal semantic structure for ease of navigation within a set of Internet
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