Data mining in multisensor system based on rough set theory

We discuss how data fusion and data mining are mutually supportive in multisensor systems and, with an illustrative example, we show the rough set theory is a powerful tool to inducing rule-based object models for a data fusion system used in environment pollution monitoring. The entropy theory is employed to analyze the attribute sets. Also, a rough probability model is introduced to mine the statistical information hidden in the information table. They all show promising future in processing the data coming from the data fusion system.

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