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data miningDisease
Data-mining is often used to discover patterns in Big Data. It is tempting believe that because an unearthed pattern is unusual it must be meaningful, but patterns are inevitable in Big Data and usually meaningless. The paradox of Big Data is that data mining is most seductive when there are a large number of variables, but a large number of variables exacerbates the perils of data mining
The increasing automation in data collection, either in structured or unstructured formats...
Big Data bring new opportunities to modern society and challenges to data scientists. On the one han...
This paper argues that analyses of the ways in which Big Data has been enacted in other academic dis...
Data-mining is often used to discover patterns in Big Data. It is tempting believe that because an u...
www-stat.wharton.upenn.edu/~stine Modern data mining combines familiar and novel statistical methods...
In modern physics, many data sets arise not because there is theoretical motivation to study a set o...
The expression big data is often used in a manner which implies that immediate insight is readily av...
Abstract — Big Data is another term used to recognize the datasets that because of their extensive s...
Big Data bring new opportunities to modern society and challenges to data scien-tists. On one hand, ...
peer reviewedThe underlying paradigm of big data-driven machine learning reflects the desire of deri...
The topic of Big Data is today extensively discussed, not only on the technical ground. This also de...
Traditionally, the progress in science was usually achieved by gradually modifying known problem-sol...
A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York...
Big Data refers to data sets of much larger size, higher frequency, and often more personalized info...
The essential challenge for several big data programs is always to search data volumes and take func...
The increasing automation in data collection, either in structured or unstructured formats...
Big Data bring new opportunities to modern society and challenges to data scientists. On the one han...
This paper argues that analyses of the ways in which Big Data has been enacted in other academic dis...
Data-mining is often used to discover patterns in Big Data. It is tempting believe that because an u...
www-stat.wharton.upenn.edu/~stine Modern data mining combines familiar and novel statistical methods...
In modern physics, many data sets arise not because there is theoretical motivation to study a set o...
The expression big data is often used in a manner which implies that immediate insight is readily av...
Abstract — Big Data is another term used to recognize the datasets that because of their extensive s...
Big Data bring new opportunities to modern society and challenges to data scien-tists. On one hand, ...
peer reviewedThe underlying paradigm of big data-driven machine learning reflects the desire of deri...
The topic of Big Data is today extensively discussed, not only on the technical ground. This also de...
Traditionally, the progress in science was usually achieved by gradually modifying known problem-sol...
A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York...
Big Data refers to data sets of much larger size, higher frequency, and often more personalized info...
The essential challenge for several big data programs is always to search data volumes and take func...
The increasing automation in data collection, either in structured or unstructured formats...
Big Data bring new opportunities to modern society and challenges to data scientists. On the one han...
This paper argues that analyses of the ways in which Big Data has been enacted in other academic dis...
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