Referencias
Agrawal, Rakesh, and Ramakrishnan Srikant. 1994. “Fast Algorithms for Mining Association Rules in Large Databases.” In Proceedings of the 20th International Conference on Very Large Data Bases, 487–99. VLDB ’94. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. http://dl.acm.org/citation.cfm?id=645920.672836.
Borgelt, Christian. 2004. “Frequent Pattern Mining.”
Hahsler, Michael, and Kurt Hornik. 2008. “New Probabilistic Interest Measures for Association Rules.” CoRR abs/0803.0966. http://arxiv.org/abs/0803.0966.
Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2017. The Elements of Statistical Learning. Springer Series in Statistics. Springer New York Inc. http://web.stanford.edu/~hastie/ElemStatLearn/.
Hu, Y., Y. Koren, and C. Volinsky. 2008. “Collaborative Filtering for Implicit Feedback Datasets.” In 2008 Eighth IEEE International Conference on Data Mining, 263–72. https://doi.org/10.1109/ICDM.2008.22.
Jurafsky, Daniel, and James H. Martin. 2000. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. 1st ed. Upper Saddle River, NJ, USA: Prentice Hall PTR.
Leskovec, Jure, Anand Rajaraman, and Jeffrey David Ullman. 2014. Mining of Massive Datasets. 2nd ed. New York, NY, USA: Cambridge University Press. http://www.mmds.org.
Zhou, Yunhong, Dennis Wilkinson, Robert Schreiber, and Rong Pan. 2008. “Large-Scale Parallel Collaborative Filtering for the Netflix Prize.” In Algorithmic Aspects in Information and Management, edited by Rudolf Fleischer and Jinhui Xu, 337–48. Berlin, Heidelberg: Springer Berlin Heidelberg.