Mining Fault-Tolerant Frequent Patterns in Large Databases
碩士 === 國立交通大學 === 資訊工程系 === 90 === In view of real world data may be interfered with noise which leads data to contain faults. The data mining methods proposed previously may not be applicable. Besides, we may hope that the knowledge discovered is more general and can be applied to find m...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/84272332857502794908 |