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.
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References
Han, J., Micheline, K.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann (2006)
Olson, D., Shi, Y.: Introduction to business data mining, International edition. McGraw-Hill (2007)
Nie, G.-L., Zhang, L.-L., Li, X.-S., Shi, Y.: The Analysis on the Customers Churn of Charge Email based on Data mining. In: Sixth IEEE International Conference on Data Mining - Workshops (ICDMW 2006), Hong Kong, China, pp. 843–847 (December 2006)
Wen, C.: The Matter-element Model and Its application, 1st edn. Science and Technology Document Publishing House, Beijing (1994) (in Chinese)
Lixi, L., Huawen, L., Chunyan, Y.: Study on the Application of Extenics in Data Mining. Engineering Science 6(7), 53–79 (2004)
Zhang, Y.-L., He, B.: Potential Information Mining Based on Matter-element Extensibility. Mathematics in Practice and Theory 31(5), 569–575 (2001)
Li, X.-S., Shi, Y., Li, A.-H.: Study on enterprise data mining solution based on extension set. Journal of Harbin Institute of Technology 38(7), 1124–1128 (2006)
Li, L., Yang, C., Li, H.: Extension Strategy Generating System. Science Press, Beijing (2006) (in Chinese)
Li, L., Yang, C., Li, H.: Extension Strategy Generating System. Science Press, Beijing (2006) (in Chinese)
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Li, X., Xiang, Z., Zhang, H., Zhu, Z. (2012). A Novel Method for Extension Transformation Knowledge Discovering. In: Wang, H., et al. Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29426-6_7
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DOI: https://doi.org/10.1007/978-3-642-29426-6_7
Publisher Name: Springer, Berlin, Heidelberg
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