1. Abe, S. (2005). Support vector machines for pattern classification (pp. 58–59). London: Springer.
2. Adamopoulos, P. (2013). What makes a great MOOC? An interdisciplinary analysis of student retention in online courses. In Proceedings of the Thirty Fourth International Conference on Information Systems (ICIS), 2013, 2013.
3. Asur, S., & Huberman, B. (2010). Predicting the future with social media. Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on, (1), 492–499.
4. Auria, L., & Moro, R. A. (2008). Support vector machines (SVM) as a technique for solvency analysis. Berlin, Germany: DIW Berlin.
5. Balakrishnama, S., & Ganapathiraju, A. (1998). Linear discriminant analysis - a brief tutorial. [Online Article]. Available:
https://www.isip.piconepress.com/publications/reports/1998/isip/lda/lda_theory.pdf
.