Abstract
Rule mining is very important for data mining. However, traditional association rule is relatively weak in semantic representation. To address it, the main contributions of this paper included: (1) proposing formal concepts on h-Dimensional Enhanced Semantic Association Rule (h-DESAR) with self-contained logic operator; (2) proposing the h-DESAR mining method based on Immune-based Gene Expression Programming (ERIG); (3) presenting some novel key techniques in ERIG. Experimental results showed that ERIG is feasible, effective and stable.
This paper was supported by the National Science Foundation of China under Grant Nos. 60473071 and 90409007.
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Zeng, T. et al. (2006). Mining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming. In: Feng, L., Wang, G., Zeng, C., Huang, R. (eds) Web Information Systems – WISE 2006 Workshops. WISE 2006. Lecture Notes in Computer Science, vol 4256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11906070_5
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DOI: https://doi.org/10.1007/11906070_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47663-4
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