Author(s)

Abdullah Z. Alruhaymi, Charles J. Kim

Department of Electrical Engineering and Computer Science, Howard University, Washington D.C, USA.

The information gained after the data analysis is vital to implement its outcomes to optimize processes and systems for more straightforward problem-solving. Therefore, the first step of data analytics deals with identifying data requirements, mainly how the data should be grouped or labeled. For example, for data about Cybersecurity in organizations, grouping can be done into categories such as DOS denial of services, unauthorized access from local or remote, and surveillance and another probing. Next, after identifying the groups, a researcher or whoever carrying out the data analytics goes out into the field and primarily collects the data. The data collected is then organized in an orderly fashion to enable easy analysis; we aim to study different articles and compare performances for each algorithm to choose the best suitable classifies.

Data Analytics, Machine Learning, Accuracy, Cybersecurity, Performance

Alruhaymi, A. and Kim, C. (2021) Case Study on Data Analytics and Machine Learning Accuracy. Journal of Data Analysis and Information Processing, 9, 249-270. doi: 10.4236/jdaip.2021.94015.