| 摘要 |
The invention "Dynamic Data Mining Process" provides a systematic, controlled and rational means to increase the number of valid relationships found within collections of data by focusing on the data most likely to be sound, and selectively using the remaining data to increase the likelihood that initially detected candidates for rules are meaningful patterns vs. random co-occurrences of values.
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