Study of Certainty Factor Model in Attribute Mining
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.
KeywordsCertainty factor Data mining Keyword database Comprehensive conditions
- 3.Nasiri JH, Mashinchi M (2009) Rough set and data analysis in decision tables. J Uncertain Syst 3(3):232–240Google Scholar
- 5.Liu LJ, Wang YD, Guo MZ (2005) The research and application of the self-learning expert system based on BP network. International conference on machine learning and cybernetics. vol 7, IEEE, pp 4153–4157Google Scholar
- 6.Jalayer F, Elefante L, Iervolino I, Manfredi G (2009) Confidence factors and structural reliability. Euro code 8 perspectives from the Italian standpoint Workshop 33:39–52Google Scholar
- 10.Lughofer E (2012) Hybrid active learning for reducing the annotation effort of operators in classification systems. Pattern Recogn 45(2):884–896Google Scholar