Example 2 In Medical Centre of Columbia University, big data analytics in healthcare is able to perform analysis of "complex correlations" of streams of physiological data related to patients with brain injuries.
Similarly, χ analysis and slope-area analysis of streams reveal a pattern of steepest channels draining the central and northern segments of the horst.
Morphometric analysis of streams is an important aspect for characterization of watershed.
The analysis of stream frequency values of the watersheds of the study area shows that the stream frequency is low in Maruvattur, Pulambadi, Silaiyur and Valaiyur watersheds and is high in Kallar, Shobanapuram, Kalungi, Belur and Sengattuppatti watersheds.
CEP systems were developed in parallel to DSMSs and represent a different approach towards the analysis of streaming data, which targets the detection of situations of interest from patterns of primitive events [14, 15].
The study of linear aspect includes the analysis of stream order, stream number, bifurcation ratio, stream lengths and length ratio.
Linear aspects of the watershed refer to the analysis of stream order, stream number, bifurcation ratio and stream length ratio.
Themes developed in the analysis of Stream One and Stream Three data will be mapped against Stream Two results to construct explanations of success/failure.
The MinION™ is a USB-connected, portable nanopore sequencer that permits real-time analysis of streaming event data.
No other eye, compound or otherwise, is known to be capable of such high-quality analysis in parallel streams of visual information (Cronin and Marshall 2001).
