Classification on the Imbalanced Data Stream with Concept Drifts Using a G-means Update Ensemble Approach
碩士 === 國立臺灣科技大學 === 資訊工程系 === 104 === Concept drift has become an important issue while analyzing data streams. Further, data streams can also have skewed class distributions, known as class imbalance. Actually, in the real world, it is likely that a data stream simultaneously has multiple concept d...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/uhhp44 |