[1] C. X. Ling and C. Li, “Data Mining for Direct Marketing: Problems and Solutions,” Proceedings of International Conference on Knowledge Discovery from Data (KDD 98), New York City, 27-31 August 1998, pp. 73-79.
[2] G. Dimitoglou, J. A. Adams and C. M. Jim, “Comparison of the C4.5 and a Naive Bayes Classifier for the Prediction of Lung Cancer Survivability,” Journal of Computing, Vol. 4, No. 2, 2012, pp. 1-9.
[3] P. S. Vadivu and V. K. David, “Enhancing and Deriving Actionable Knowledge from Decision Trees,” International Journal of Computer Science and Information Security (IJCSIS), Vol. 8, No. 9, 2010, pp. 230-236.
[4] M. Alam and S. A. Alam, “Actionable Knowledge Mining from Improved Post Processing Decision Trees,” International Conference on Computing and Control Engineering (ICCCE 2012), Chennai, 2012, pp. 1-8.
[5] R. A. Patil, P. G. Ahire, P. D. Patil, Avinash and L. Golande, “Decision Tree Post Processing for Extraction of Actionable Knowledge,” International Journal of Engineering and Innovative Technology (IJEIT), Vol. 2, No. 1, 2012, pp. 152-155.
[6] Q. Yang, J. Yin, C. Ling and R. Pan, “Extracting Actionable Knowledge from Decision Trees,” IEEE Transaction on Knowledge and Data Engineering, Vol. 19, No. 1, 2007, pp. 43-56.
[7] Q. Yang, J. Yin, C. X. Ling and T. Chen, “Post Processing Decision Trees to Extract Actionable Knowledge,” Proceedings of the Third IEEE International Conference on Data Mining (ICDM’03), 19-22 November 2003, Florida, pp. 685-688. doi:10.1109/ICDM.2003.1251008
[8] Z. He, X. Xu and S. Deng, “Data Mining for Actionable Knowledge: A Survey,” ArXiv Computer Science e-Prints, 2005.
[9] J. Huang, J. Lu and C. X. Ling, “Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy,” Proceedings of Third IEEE International Conference on Data Mining (ICDM 2003), 19-22 November 2003, pp. 553-556. doi:10.1109/ICDM.2003.1250975
[10] A. Abrahams, F. Hathout, A. Staubli and B. Padmanabhan, “Profit-Optimal Model and Target Size Selection with Variable Marginal Costs,” 2013. http://www.cl.cam.ac.uk/research/srg/opera/ publications/papers/abrahams-wharton-working-paper-feb04.pdf
[11] Weka Data Mining Tool. http://www.cs.waikato.ac.nz/ml/weka/
[12] UCI Machine Repository Data. http://archive.ics.uci.edu/ml/datasets/Bank+Marketing
[13] H. Kaur, “Actionable Rules: Issues and New Directions,” World Academy of Science, Engineering and Technology, Vol. 5, 2005, pp. 61-64.
[14] T. Goan and S. Henke, “From Data to Actionable Knowledge: Applying Data Mining to the Problem of Intrusion Detection,” Proceedings of International Conference on Artificial Intelligence (IC-AI’2000), Las Vegas. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.9792
[15] R. D’Souza, M. Krasnodebski and A. Abrahams, “Implementation Study: Using Decision Tree Induction to Discover Profitable Locations to Sell Pet Insurance for a Startup Company,” Journal of Database Marketing & Customer Strategy Management, Vol. 14, No. 4, 2007, pp. 281-288. doi:10.1057/palgr ave.dbm.3250059