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Proceedings Paper

Study on softman for mining tourism information
Author(s): Yipeng Zhou; Junping Du; Min Zuo; Xuyan Tu
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Paper Abstract

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 quantuminspired 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.

Paper Details

Date Published: 9 January 2008
PDF: 6 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67944J (9 January 2008); doi: 10.1117/12.784078
Show Author Affiliations
Yipeng Zhou, Univ. of Science and Technology Beijing (China)
Beijing Technology and Business Univ. (China)
Junping Du, Beijing Univ. of Posts and Telecommunications (China)
Min Zuo, Univ. of Science and Technology Beijing (China)
Beijing Technology and Business Univ. (China)
Xuyan Tu, Univ. of Science and Technology Beijing (China)


Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials

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