RealNetworks is gambling that with a proliferation of different standards and formats for video and audio, the media corporations that make content available over the Internet will flock to a single system that supports multiple types of data.
An object usually possesses multiple types of data.
Multiple types of data have been used, of which crowdsourced data (e.g. social media data) plays an essential role.
ClearStory maintains that it gives companies an advantage by processing multiple types of data on the fly with a modern, visual user interface that people can access.
Its advantage is in the ability to process multiple types of data on the fly and then combine that with a modern user interface.
This would allow customers to apply these types of rules and controls to multiple types of data as it moves inside and outside the firewall.
Thus, it allows concurrent detection of multiple kinds of data alignments, in datasets containing multiple types of data.
Our microkinetic model is able to capture multiple types of data while being thermodynamically consistent over a wide range of conditions.
Therefore, multiplex approaches are used to understand the customer behavior integrating multiple data sources and multiple types of data [7] to reach the combined prediction results.
For each subject, multiple types of data were collected: phenotypic data, structural (T1) magnetic resonance imaging (MRI) data and functional MRI (fMRI) resting-state data.
Therefore, big data systems must be able to process multiple types of data stream in order to effectively uncover hidden knowledge patterns.
