Abstract
Chinese medicinal herbs, acupuncture, and patterns are important components in traditional Chinese medicine. In this paper, focused on facial nerve paralysis, we proposed an algorithm named two dimensions data slicing to mine rules of Chinese medicinal herbs, acupuncture, and patterns. The process of mining was done in two dimensions. The one-dimension analyzes the frequencies of Chinese medicinal herbs, acupoints, and patterns. The two-dimension analyzes the frequencies of co-existed keyword pairs. By examining the results of these two dimensions, although some noises existed, most regular knowledge of treating this disease is mined out. This algorithm might be useful in mining rules in the literature of traditional Chinese medicine.
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Zheng, G., Guo, H., Guo, Y., He, X., Li, Z., Lu, A. (2011). Two Dimensions Data Slicing Algorithm, a New Approach in Mining Rules of Literature in Traditional Chinese Medicine. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_23
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DOI: https://doi.org/10.1007/978-3-642-24282-3_23
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