American Research Journal of Computer Science and Information Technology

Nowadays managing big data is one of the most challenges in data management. Big data mining has become a major focus of data management in the world helping to provide detailed data that informs major decisions, to adequately understand the concept of big data mining. This research paper is analysis four research articles and conferences papers from various aspects of big data mining regarding their approaches, issues, findings and improvements that articles have had in the field of data mining, and addresses the gap in data mining literature. The large volumes of data and the various types, and sources of data that act as barriers to big data mining will be discussed in details. The application of big data mining in clinical medicine will be discussed as well to identify how it improves the clinical decision making and practices. The methods that have been used to analyse and increase the efficiency and accuracy of the data mining process will be identified to provide a critical information to guide industries to make the proper decision.