Search results
Results from the WOW.Com Content Network
The public can use a laptop or other suitable portable device to access the wireless connection (usually Wi-Fi) provided.The iPass 2014 interactive map, that shows data provided by the analysts Maravedis Rethink, shows that in December 2014 there are 46,000,000 hotspots worldwide and more than 22,000,000 roamable hotspots.
There is an ongoing interest in both regulatory agencies and academia surrounding transaction data and limit order book data, of which greater implications of trade and market behaviors as well as market outcomes and dynamics can be assessed using high frequency data models. Regulatory agencies take a large interest in these models due to the ...
It is estimated that by 2017, more than 11 exabytes of data traffic will have to be transferred through mobile networks every month. [ 10 ] [ 12 ] A possible solution is the replacement of some RF-technologies, like Wi-Fi , by others that do not use RF, like Li-Fi , as proposed by the Li-Fi Consortium .
Because of its nature, data in use is of increasing concern to businesses, government agencies and other institutions. Data in use, or memory, can contain sensitive data including digital certificates, encryption keys, intellectual property (software algorithms, design data), and personally identifiable information. Compromising data in use ...
Cache hierarchy, or multi-level cache, is a memory architecture that uses a hierarchy of memory stores based on varying access speeds to cache data.Highly requested data is cached in high-speed access memory stores, allowing swifter access by central processing unit (CPU) cores.
A variety of system architectures have been implemented for data-intensive computing and large-scale data analysis applications including parallel and distributed relational database management systems which have been available to run on shared nothing clusters of processing nodes for more than two decades. [21] However, most data growth is ...
Level 2 data sets tend to be less voluminous than Level 1 data because they have been reduced temporally, spatially, or spectrally. Level 3 data sets are generally smaller than lower level data sets and thus can be dealt with without incurring a great deal of data handling overhead. These data tend to be generally more useful for many applications.
A hypothesis, biased by data dredging, could then be "people born on August 7 have a much higher chance of switching minors more than twice in college." The data itself taken out of context might be seen as strongly supporting that correlation, since no one with a different birthday had switched minors three times in college.