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Table 1 Weights (α, β) on making the optimized results of hybrid similarity metrics.

From: Automatic symptom name normalization in clinical records of traditional Chinese medicine

Hybrid Similarity Metrics Weights
Set+JD (0.1, 0.9)
Set+JWD (0.1, 0.9)
Set+SWD (0.1, 0.9); (0.2, 0.8); (0.3, 0.7)
Set+SWGD (0.1, 0.9); (0.2, 0.8); (0.3, 0.7)
TFIDF+VSM+JD (0.1, 0.9)
TFIDF+VSM+JWD (0.1, 0.9)
TFIDF+VSM+SWD (0.1, 0.9); (0.2, 0.8)
TFIDF+VSM+SWGD (0.1, 0.9); (0.2, 0.8)
SimRank+JD (0.1, 0.9); (0.2, 0.8); (0.3, 0.7); (0.4, 0.6); (0.5, 0.5); (0.6, 0.4)
SimRank+JWD (0.1, 0.9); (0.2, 0.8); (0.3, 0.7); (0.4, 0.6); (0.5, 0.5); (0.6, 0.4)
SimRank+SWD (0.1, 0.9); (0.2, 0.8); (0.3, 0.7); (0.4, 0.6); (0.5, 0.5); (0.6, 0.4); (0.7, 0.3); (0.8, 0.2)
SimRank+SWGD (0.1, 0.9); (0.2, 0.8); (0.3, 0.7); (0.4, 0.6); (0.5, 0.5); (0.6, 0.4); (0.7, 0.3); (0.8, 0.2)