Exact(1)
The majority of data mining methodologies, however, produce large amounts of patterns from the data [ 4, 5].
Similar(59)
The figure shows that the radiation patterns excited by "Mode 3" and "Mode 4" configurations are significantly different, resulting in a large amount of pattern diversity.
A large amount of pattern recognition and data mining technologies have been developed and designed for medical analysis and diagnostic standardization.
For the past few years, researchers have used machine learning and expert systems to analyze large amounts of data, identify patterns and make predictions.
We find that because of the intrinsic nature of roads, such as single and dual carriageway, free way and the individual driving habit, there exist large amounts of reusable mobility patterns in the traffic trace, which accounts for around 40% of the whole traces, i.e., VMP typically includes fixed route or vehicle's favorite paths given the starting place and the destination of vehicles.
"... First we show that a neuron with several thousand synapses segregated on active dendrites can recognize hundreds of independent patterns of cellular activity even in the presence of large amounts of noise and pattern variation.
AI typically works by crunching very large amounts of data to figure out telltale patterns, then testing provisional patterns against similar data it hasn't yet processed.
Our analysis aimed the evaluation of the computational grid capacity of dealing with the meteorological application (mesoscale climatology), the behavior of the G-BRAMS on a computational grid and the management of large amounts of data, looking for patterns on job execution times that we could correlate with hardware and software failures.
The transition into male-pollinator attraction was achieved by producing increased amounts and different double-bond varieties of alkenes, since female bees produce large amounts of alkenes in specific patterns of double-bond positions [ 31].
Visualization plays an integral role in scientific investigation; it is useful for viewing large amounts of data simultaneously, observing patterns and outliers amongst data, and communicating findings to others.
It gives emphasis and priority to the exploration and identification of new textual and linguistic patterns in large amounts of translation data gathered in the form of translation data bases.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com