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A pattern discovered from a collection of data is usually considered potentially interesting if its information content can assist the user in their decision making process. To that end, we have defined the potential interestingness of a pattern based on whether it provides statistical knowledge that is able to affect one's belief system. In previous work, we proposed two novel algorithms, Discovering...
The water supply forecasting is of great use both for the decision-making and management of water plan, and for the security of social basic lives. But due to the restriction on the getable data and the complexity of water flow, the water supply forecasting has indeed formed a typical nonlinear regression problem, which is still unsolved by traditional methods. To solve above problem, a novel forecasting...
The credit analysis on electricity users is of great use for the decision-making and management of market trades in the market. But due to the short history and the complexity of client information, the credit analysis in electricity market has indeed formed a typical nonlinear classification problem with small samples, which is still unsolved by traditional methods. To solve above problem, a novel...
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