Yang-Sae Moon

Background Traditional storage systems typically use simple access control models that manage permissions at the user or group level. These models, however, are not well suited for data lake environments, where large-scale and diverse datasets must be accessed concurrently by users across multiple hierarchical levels, and they also have many limitations in terms of maintenance.

1. Introduction This paper introduces an efficient method of applying data purification, a representative technique for data quality management, in a stream environment. A data stream refers to a large amount of data that are continuously generated; most of the data generated online are in stream form. With the recent proliferation of various smart devices and IoT services, data streams are increasing significantly [1,2,3,4].

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by 1, 1,* and 2,* 1 Department of Computer Science, Kangwon National University, Chuncheon 24341, Republic of Korea 2 College of Computing and Informatics, Sungkyunkwan University, Suwon 16419, Republic of Korea * Authors to whom correspondence should be addressed. Appl. Sci.