| 1. | Rows with a similarity score . 70 are written to the 相似性得分> = . 70的行写入 |
| 2. | Column that contains a similarity score to each row 该转换将向每行添加包含相似性得分的 |
| 3. | Each match includes a similarity score and a confidence score 每个匹配项都包括一个相似性得分和一个置信度得分。 |
| 4. | Returns a low similarity score regardless of other matches 会返回一个较低的相似性得分,而无论其他匹配项是什么。 |
| 5. | Rows with similarity scores 相似性得分 |
| 6. | The method for approximate matching of data is based on a user - specified similarity score 近似匹配数据的方法基于用户指定的相似性得分。 |
| 7. | The output also provides a similarity score for each column that participates in a fuzzy grouping 输出还提供了参与模糊分组的每列的相似性得分。 |
| 8. | At run time , the score columns in transformation output contain the similarity scores for each row in a group 在运行时,转换输出中的得分列包含组中每行的相似性得分。 |
| 9. | Rows with similarity scores 70 are probably valid new customer leads and additional cleaning is done on these rows 相似性得分< . 70的行可能是有效的新客户前置,这些行将在以后清除。 |
| 10. | Have a high similarity score but a low confidence score because it is unclear which of the results is the best match 都具有很高的相似性得分,然而置信度得分却都较低,这是因为无法肯定哪个结果是最佳匹配项。 |