1. 1. Xingquan Zhu, Ian Davidson, “Knowledge Discovery and Data Mining: Challenges and Realities”, ISBN 978- 1-59904-252, Hershey, New York, 2007.
   2. Koprinska, Irena, Joshua Stretton, and Kalina Yacef. "Students at Risk: Detection and Remediation." EDM.2015.
   3. Pelánek, Radek. "Measuring Similarity of Educational Items Using Data on Learners’ Performance."
   4. Yanfei Zhou, Wanggen Wan, Junwei Liu, Long Cai, “Mining Association Rules Based on an Improved Apriori Algorithm”, 978- 1-4244-585 8- 5/10/$26.00 ©2010 IEEE.
   5. Huan Wu, Zhigang Lu, Lin Pan, Rongsheng Xu, Wenbao Jiang, “An Improved Apriori-based Algorithm for Association Rules Mining” Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 978-0-7695- 3735-1/09 $25.00 © 2009 IEEE DOI10.1109/FSKD.2009.193.
   6. Venkatadri.M and Lokanatha C. Reddy ,“A comparative study on decision tree classification algorithm in data mining” , International Journal Of Computer Applications In Engineering ,Technology And Sciences (IJCAETS), Vol.- 2 ,no.- 2 , pp. 24- 29 , Sept 2010.
   7. Safavian, S. Rasoul, and David Landgrebe. "A survey of decision tree classifier methodology." IEEE transactions on systems, man, and cybernetics21.3 (1991): 660-674.
   8. McCallum, Andrew, and Kamal Nigam. "A comparison of event models for naive bayes text classification." AAAI-98 workshop on learning for text categorization. Vol. 752. 1998.
   9. Team, R. Core. "R language definition." Vienna, Austria: R foundation for statistical computing (2000).