Cost-Sensitive Decision Tree Induction with Label-Dependent Late Constraints

References

• Arnt A, Zilberstein S (2005) Learning policies for sequential time and cost-sensitive classification. Proc. 1st Internat. Workshop on Utility-Based Data Mining (ACM, Chicago).Crossref, Google Scholar
• Bache K, Lichman M (2013) UCI Machine Learning Repository. School of Information and Computer Science, University of California, Irvine. Accessed July 31, 2013, http://archive.ics.uci.edu/ml.Google Scholar
• Breiman L (1984) Classification and Regression Trees (Chapman & Hall/CRC, Belmont, CA).Google Scholar
• Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Machine Intelligence 6:721–741.Crossref, Google Scholar
• Han J, Kamber M (2006) Data Mining: Concepts and Techniques (Morgan Kaufmann, San Francisco).Google Scholar
• Kao H-P, Tang K, Tang J (2010) Cost-sensitive decision trees with completion time requirements. Working Paper 1264, Krannert School of Management, Purdue University, West Lafayette, IN. Accessed July 31, 2013, http://krannert.purdue.edu/programs/phd/working-papers-series/2010/1264.pdf.Google Scholar
• Ling CX, Sheng VS, Yang Q (2006) Test strategies for cost-sensitive decision trees. IEEE Trans. Knowledge and Data Engrg. 18(8):1055–1067.Crossref, Google Scholar
• Ling CX, Yang Q, Wang J, Zhang S (2004) Decision trees with minimal costs. Proc. Twenty-First Internat. Conf. Machine Learn. (ACM, Banff, Alberta, Canada).Crossref, Google Scholar
• Quinlan JR (1986) Induction of decision trees. Machine Learn. 1(1):81–106.Crossref, Google Scholar
• Quinlan JR (1990) Decision trees and decision-making. Systems, Man Cybernetics, IEEE Trans. 20(2):339–346.Crossref, Google Scholar
• Quinlan JR (1993) C4.5: Programs for Machine Learning (Morgan Kaufmann, San Francisco).Google Scholar
• Saar-Tsechansky M, Melville P, Provost F (2009) Active feature-value acquisition. Management Sci. 55(4):664–684.Link, Google Scholar
• Tang K, Chen Y-L, Wu C-C (2010) Cost-effective classification trees with multiple resource constraints. Working Paper 1263, Krannert School of Management, Purdue University, West Lafayette, IN. Accessed July 31, 2013, http://krannert.purdue.edu/programs/phd/working-papers-series/2010/1263.pdf.Google Scholar
• Turney PD (1995) Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. J. Artificial Intelligence Res. 2:369–409.Crossref, Google Scholar