Abstract
On the foundation of analyzing the existing classification, an acquisition method of extension transformation knowledge based on Decision Tree classification has been proposed The new-bored method re-mines and transforms the decision tree rules to "can't to can, not to yes" strategy which aims to provide targeted decision-making on the transformation of the customer churn by flexible use of the extension set and extension transformation theory. Its practice in a web company has proved that this method is highly feasible, and also has the reference value for other methods research based on Extenics. © 2012 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Li, X., Xiang, Z., Zhang, H., & Zhu, Z. (2012). A novel method for extension transformation knowledge discovering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7234 LNCS, pp. 43–50). https://doi.org/10.1007/978-3-642-29426-6_7
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
