Cost-Constrained Data Acquisition For Intelligent Data Preparation

IEEE Computer Soc
Publication Type:
Journal Article
IEEE Transactions On Knowledge And Data Engineering, 2005, 17 (11), pp. 1542 - 1556
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Real-world data is noisy and can often suffer from corruptions or incomplete values that may impact the models created from the data. To build accurate predictive models, data acquisition is usually adopted to prepare the data and complete missing values
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