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Study of Certainty Factor Model in Attribute Mining

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 206))

Abstract

The certainty factor is an inaccuracy inference model used by MYCIN system. It is a reasonable and effective inference model for many practical applications. This paper will focus on the analysis of text messages of magazines and build the audiences’ interest, keywords of their careers. Based on the certainty factor, we can calculate the value of the certainty factor with some comprehensive conditions, and then learn the audiences’ interest, the level of the certainty factor for their careers with the value in different conditions. This conclusion could be applied to direct mail database marketing to get a better result.

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Correspondence to Yanfeng Jin .

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© 2013 Springer-Verlag London

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Jin, Y., Wang, Y., Geng, K., Zhao, B. (2013). Study of Certainty Factor Model in Attribute Mining. In: Du, W. (eds) Informatics and Management Science III. Lecture Notes in Electrical Engineering, vol 206. Springer, London. https://doi.org/10.1007/978-1-4471-4790-9_46

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  • DOI: https://doi.org/10.1007/978-1-4471-4790-9_46

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4789-3

  • Online ISBN: 978-1-4471-4790-9

  • eBook Packages: EngineeringEngineering (R0)

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