TIM-6520

Sendhil Kumar, K. S., Anbarasi, M., Shanmugam, G. S., & Shankar, A. (2020). Efficient predictive model for utilization of computing resources using machine learning techniques. 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 351–357.
This resource proposes a technique that utilizes machine learning work to re-phrase prediction as an optimization problem.
This resource gives an overview of what clustering is and the different methods of clustering, along with its examples.

Ramona Marge, Stefan Iovan, & Alina-Anabela Iovan. (2018). Predictive analysis in the big data era. Analele Universităţii “Constantin Brâncuşi” Din Târgu Jiu: Seria Inginerie, 2018(4), 124–129.
This resource highlights insights that are the basis of operational excellence, providing a significant competitive advantage and leading to business success.

Waisakurnia, W. (2020, June 12). The easiest way to interpret clustering result – Describing clusters with a function call.
This resource highlights how to understand or interpret the clustering result using Python code.

Sengan, S., Sagar, R. V., Ramesh, R., Khalaf, O. I., & Dhanapal, R. (2021). The optimization of reconfigured real-time datasets for improving classification performance of machine learning algorithms. Mathematics in Engineering, Science & Aerospace (MESA), 12(1), 43–54.
This resource analyzes the effectiveness of different model classification for machine learning (ML) to prevent the use of personalized log data.

Davidson, C. (2021). What is classification analysis?
This resource defines classification analysis within data mining.

Sharma, R. (2020, December 1). What is clustering and different types of clustering methods.