A Parallel Detection and Prediction Method for Concept Drift in Dynamic Data Driven Application System
碩士 === 國立交通大學 === 資訊管理研究所 === 103 === The traditional data analysis and prediction method assumes that data distribution is stable. Therefore, it can predict unlabeled data precisely by analyzing the historical data. However, in today’s big-data environment, which is changing frequently, the traditi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/e864zc |