Privacy Awareness in The Big Data Era and Machine Learning
A qualitative research article involves an interpretative as well as a naturalistic approach to the subject matter. Journal of Information System is a qualitative article that is published by the American Accounting Association. The article is qualitative because it is responsible for studying privacy awareness concerning bid data era and machine learning in its natural settings. The article attempts to make sense in connection to the subject matter. Additionally, it includes the possible keywords of the study, the type of analysis, and all the terminologies used to describe the course’s resulting form.
The Journal of Information System aims to support, promote, and advance privacy awareness in the significant data era and machine learning. However, the Journal information System is an article that is informed by research as well as the practices of the management information system for conducting machine learning during this era of privacy awareness in the big data. The article also welcomes various research that is responsible for employing various research approaches that incorporate qualitatively, case study, field study, and analytical and market-based approaches.
Quantitative research is usually marked by the use of surveys, questionnaires, and other tools designed to gain verbal or written information and some essential reactions and understanding regarding the subject matter. A quantitative article always relies on the collection and analysis of numerical data and information from the reference quantity. ACM Computing Surveys is an example of a quantitative article supporting privacy awareness in the significant data era and machine learning. The Association for Computing Machinery publishes the article.
As a quantitative article, it has comprehensive tutorial papers and readable surveys responsible for giving a tour guide via the literature and explaining the research topic. This is essential for me as a researcher because I seek to learn the fundamental areas outside my specialization in a more accessible way. This article is quantitative research because it is well planned and presents the introductions of computing surveys, which are also an excellent way for me as a researcher to develop a perspective on and identify all the involved technologies related to machine learning. The article also offers a critical contribution, which is responsible for bridging the existing variety of engineering and science domains to understand better privacy awareness in the significant data era and machine learning.