In education, augmented reality (AR) provides a better user experience due to its features of displaying 3D virtual information and interaction. Thus, many scholars have been attracted to developing this technology in their research. However, there are different types of AR technology represented in the educational environment. Therefore, the impact of using this technology in research may differ from one type to another. This paper provides an overview of AR technology in the educational environment. It investigates articles from three journals over three years (2017-2019).The paper is structured around three aims: first, to identify the type of AR used in each reviewed article; second, to extract the benefits of using AR technology, according to each type; and third, to specify the learning subject regarding each AR type. The review's significant findings showed that "user satisfaction" is the most frequently mentioned positive impact of integrating AR in education. It is also mentioned in all AR types.

Knowing the type of data is widely required to make better and faster decisions. However, the process requires the user to provide information about the configuration of the data. This paper presents the first attempt to analyze data to extract it is type automatically from multi-dimensional data sets. This is useful not only for experts but also to users, also reduces manual search effort. Layers of multi-dimensional data are formed and evaluated, and the focus is on the most efficient ones. Experiments on experimental and real data demonstrate the efficiency and effectiveness of the proposed method.

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