摘要
Aluminum electrolysis is a complex industrial process with large volume data. To discover knowledge from the data, data mining is one of the most natural candidate tools. However, the mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed. In this paper, a new process model for standardizing industrial mining process is proposed. Applied intelligent system is used as the goal of data mining. Meanwhile, the intelligent system also quickens the focusing of data mining. Furthermore, OLAP, six sigma, and domain knowledge are also considered to enhance different steps in the proposed model.
- 出版日期2009
- 单位北京科技大学