• Corpus ID: 16618404

A Rough-Set-Refined Text Mining Approach for Crude Oil Market Tendency Forecasting

@inproceedings{Yu2005ART,
  title={A Rough-Set-Refined Text Mining Approach for Crude Oil Market Tendency Forecasting},
  author={Lean Yu and Shouyang Wang and Kin keung Lai},
  year={2005}
}
In this study, we propose a knowledge-based forecasting system — rough-set-refined text mining (RSTM) approach — for crude oil price tendency forecasting. This system consists of two modules. In the first module, text mining techniques are used to construct a metadata repository and generate rough knowledge by extracting unstructured text documents, including gathering various related text documents, preprocessing documents, feature extraction, and metadata mining and rough knowledge generation… 

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