TITLE:
Case Study on Data Analytics and Machine Learning Accuracy
AUTHORS:
Abdullah Z. Alruhaymi, Charles J. Kim
KEYWORDS:
Data Analytics, Machine Learning, Accuracy, Cybersecurity, Performance
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.9 No.4,
September
24,
2021
ABSTRACT: 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.