Study on softman for mining tourism information

摘要

To mine useful tourism events' knowledge from different data sources distributed on Internet, we design a kind of data mining "Softman" which is based on quantum computing and artificial immune system. The thinking state of softman is encoded as quantum-bits (qubits). Its advantage is that the qubit linear superposition can represent the probability of softman taking action according to its thinking state, so it is consistent with the way of human. Then we apply quantum-inspired immune clone algorithm to the thinking state evolution of softman, which utilizes immune learning and clonal selection to improve softman's learning ability. A multi-softmen organization can be used to do parallel data mining. And some organizations can also be applied on several data sources to implement distributed data mining.