Advanced Analytical Theory and Methods: Classification - Data Science and Big Data Analytics - page 321

Bibliography
[1] M. Thomas, B. Pang, and L. Lee, “Get Out the Vote: Determining
Support or Opposition from Congressional Floor-Debate Transcripts,” in
Proceedings of the 2006 Conference on Empirical Methods in Natural
Language Processing , Sydney, Australia, 2006.
[2] M. Shouman, T. Turner, and R. Stocker, “Using Decision Tree for
Diagnosing Heart Disease Patients,” in Australian Computer Society, Inc.,
Ballarat, Australia, in Proceedings of the Ninth Australasian Data Mining
Conference (AusDM '11) .
[3] I. Androutsopoulos, J. Koutsias, K. V. Chandrinos, G. Paliouras, and C.
D. Spyropoulos, “An Evaluation of NaÏve Bayesian Anti-Spam Filtering,” in
Proceedings of the Workshop on Machine Learning in the New
Information Age, Barcelona, Spain, 2000.
[4] L. Breiman, “Random Forests,” Machine Learning, vol. 45 , no. 1, pp.
5-32, 2001.
[5] J. R. Quinlan, “Bagging, Boosting, and C4. 5,” AAAI/IAAI, vol. 1 , 1996.
[6] S. Moro, P. Cortez, and R. Laureano, “Using Data Mining for Bank
Direct Marketing: An Application of the CRISP-DM Methodology,” in
Proceedings of the European Simulation and Modelling Conference -
ESM'2011, Guimaraes, Portugal, 2011.
[7] J. R. Quinlan, “Induction of Decision Trees,” Machine Learning, vol. 1 ,
no. 1, pp. 81-106, 1986.
[8] J. R. Quinlan, C4. 5: Programs for Machine Learning, Morgan
Kaufmann, 1993.
[9] L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone,
Classification and Regression Trees, Belmont, CA: Wadsworth
International Group, 1984.
[10] T. M. Mitchell, “Decision Tree Learning,” in Machine Learning, New
York, NY, USA, McGraw-Hill, Inc., 1997, p. 68.
[11] C. Phua, V. C. S. Lee, S. Kate, and R. W. Gayler, “A Comprehensive
Survey of Data Mining-Based Fraud Detection,” CoRR, vol. abs/1009.6119,
2010.
[12] R. Bhowmik, “Detecting Auto Insurance Fraud by Data Mining
Techniques,” Journal of Emerging Trends in Computing and Information
Sciences, vol. 2 , no. 4, pp. 156-162, 2011.
[13] D. Michie, D. J. Spiegelhalter, and C. C. Taylor, Machine Learning,
Neural and Statistical Classification, New York: Ellis Horwood, 1994.