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) |