Exact(6)
The sheer size of data is too large, and in spite of all intricate programs for detecting suspicious messages, computers that register billions of data are too stupid to interpret and evaluate them properly, ridiculous mistakes where innocent bystanders are listed as potential terrorists occur necessarily – and this makes state control of communications even more dangerous.
It's tempting to think that the sheer size of data available can get around the issue.
However, with the sheer size of data available today, the precision and trust of the source data quickly become an issue, due to the data sources are often of many different origins and data quality is not all verifiable.
When dealing with massive amounts of data (on the order of terabytes or petabytes, for example), intrusion detection becomes extremely difficult, and single computers cannot handle the sheer size of data.
In addition to the sheer size of data sets, how do we cope with the complexity of the data itself?
Distributed computing (Pande et al., 2002) and specialized computer architectures (Shaw et al., 2007) speed up MD simulation significantly, but the sheer size of data generated is a major hurdle that prevents biological insights.
Similar(54)
Making sense of the vast amount of data is difficult: on one hand, the sheer size of the data poses challenges; on the other hand, the complexity of the data, which includes situations in which data is noisy, high-dimensional, and/or incomplete, is perhaps an even more significant challenge.
Compared with the well-established microarray-based applications, HTS is still an emerging technology and new algorithms, to deal with the sheer size of the data and to model HTS data, are currently under development.
The ability to do this is aided not only by the sheer size of the data set, but also by the fact that the data are diagnosis driven.
Finally, we will discuss visualization tools for NGS data, and the important constraints due to the sheer size of the data.
The sheer size of the data sets suggests that appropriate use of mathematical models coupled with statistical methods for data analysis and inference will play an irreplaceable role in contemporary biology.
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Justyna Jupowicz-Kozak
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