| 摘要 |
A system (100) and method (200) for data classification are provided, the system including a processor (102), an adapter (112) in signal communication with the processor for receiving data, a filtering unit (170) in signal communication with the processor for pre-processing the data and filtering features of the data, a selection unit (180) in signal communication with the processor for learning a Bayesian network (BN) classifier and selecting features responsive to the BN classifier, and an evaluation unit (190) in signal communication with the processor for evaluating a model responsive to the BN classifier; and the method including receiving data (212), pre-processing the data (214), filtering features of the data (216), learning a BN classifier (218), selecting features responsive to the BN classifier (220), and evaluating a model responsive to the BN classifier (222). |
