Zainab H Majeed1, Basaeir Y Ahmed2 and Safa A Najim1
الملخص الانجليزي
Abstract: 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.