TIM-6130: Data Mining

Hadjimichael, A., Comas, J., & Corominas, L. (2016). Do machine learning methods used in data mining enhance the potential of decision support systems? AI Communications, 29(6), 747-756.
Review information on machine learning.

Kassambara, A. (2018). K-means clustering in R: Algorithm and practical examples. Datanovia.
Nice tutorial on K-means clustering with R.

McQuarrie, E. (Academic). (2016). An introduction to big data for market research [Video]. SAGE Knowledge.
Review information on big data and its use in market research.

Nelson, D. (2021, January 17). What is K-means clustering? Unite.AI.
An excellent overview about K-means in general, with graphics.

Weisman, M., Ritchey, P., Shearer, G., Colbert, E., Dauber, E., Knachel, L., Sullivan, D., Parker, T., & Greenstadt, R. (2018). Machine learning and data mining for IPv6 Network Defence [Conference presentation]. Proceedings of the International Conference on Cyber Warfare & Security, 681–688.
Review the information on machine learning processes in data mining.

Willems, K. (2018, November 20). Machine Learning in R for Beginners. Datacamp.
A good overview of Machine learning with R.

Witten, I. H., Frank, E., & Hall, M. A. (2017). Credibility: evaluating what’s been learned. Data mining: Practical machine learning tools and techniques (3rd ed., pp. 161-203).
Read Chapter 5: “Credibility: Evaluating What’s Been Learned”
Review the information on machine learning in today’s organizations.