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Therefore, building a dynamic cloud storage index framework for multidimensional data is necessary.
The visualization agents of the multidimensional data is essential for a dispatcher and the DM.
The analysis of large volumes of unordered multidimensional data is a problem confronted by scientists and data analysts every day.
Conducting analytics over big multidimensional data is another challenge that should be investigated within the context of NoSQL and big data emerging technologies [10].
In our method, the multidimensional data is processed as a whole, and the features contained in each spectral band can be extracted effectively.
A natural way to represent multidimensional data is using quaternions, a four-dimensional associative normed division algebra over the real numbers that allows for the multiplication and division of points in three-dimensional space.
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Another split policy for the M-Tree MAM restricted to multidimensional data was presented in [14].
While initial studies of hyperspectral imaging application to art objects analysis are encouraging, the difficulties of working with its multidimensional data are acknowledged; in many cases complex algorithms are required to fully utilize its potential.
New data acquisition schemes to reduce the time required for multidimensional data are required to make two-dimensional NMR practical.
Using an evaluation framework, we found that TA multidimensional data were more informative for evaluating the efficacy of TA PD.
However, the value of OPCRIT is its mobility between categorical and nomothetic dimensions, and OPCRIT has been validated insofar as when the multidimensional data are parsed by algorithms for categorical diagnosis, there is concordance between clinician-assigned diagnostic categories, ICD-10 and DSM.
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