A Meta-information Based Rule Mining System for Vehicle Parking Decision Support

Vehicle parking problem is a critical problem for most Chinese cities. In order to find out the rules hidden in the underlying data of vehicle parking, a rule mining system has been developed based on a meta-information mechanism. Meta-information is a simple data structure for describing a distributed information system or its subsystems of the rough set theory, and meta-information mechanism is a suitable basis to implement many rough set methods, such as rule extraction and attribute reduction. By the rule mining system, many meaningful rules will be extracted. The rule mining system is a typical application of meta-information mechanism, and will take advantages of the merits of meta-information mechanism.