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There are two important views of data to consider in the SOA.
Recently, many heterogeneous but related views of data have been generated in a number of applications.
Traditionally most organizations are limited to siloed views of data from disparate data sources that capture product and customer information.
Visualizations of low-dimensional representations can be helpful in building up holistic views of data space for use in exploration and discovery of new materials.
Two weighting schemes are designed that respectively weight the views of data points and feature representations in each view, such that the best view and the most representative feature space in each view can be selected for clustering.
Many techniques perform dimensionality reduction or other "compression" to show views of data in either two or three dimensions, leaving the data analyst to infer relationships with remaining independent and dependent variables.
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This ecosystem view of data analysis has its own parallels in the commercial world.
2-D image3-D view of data.
Fig. 8 OSDB view of data for Aspirin.
CryptoMove, a new security startup emerging from stealth today, has a different view of data security.
On-Line Analytisal Processing (OLAP) is a technology that encompasses applications requiring a multidimensional and hierarchical view of data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com