From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.
E. Horvát, and K. Zweig. Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), page 599--606. IEEE Computer Society, (2012)
H. Hou, and X. Mao. CCECE, page 1-4. Windsor, ON, Canada, Canada, Electrical and Computer Engineering (CCECE), 2017 IEEE 30th Canadian Conference on, IEEE, (April 2017)
P. Li, T. Hastie, and K. Church. Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 287--296. New York, NY, USA, ACM, (2006)
S. Das, D. Panda, N. Sethi, and S. Gantayat. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 1 (5):
29-38(December 2011)