Big Data refers to data sets of much larger size, higher frequency, and often more personalized information. Examples include data collected by smart sensors in homes or aggregation of tweets on Twitter. In small data sets, traditional econometric methods tend to outperform more complex techniques. In large data sets, however, machine learning methods shine. New analytic approaches are needed to make the most of Big Data in economics. Researchers and policymakers should thus pay close attention to recent developments in machine learning techniques if they want to fully take advantage of these new sources of Big Data
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
The realm of big data is a very wide and varied one. We discuss old, new, small and big data, with s...
Nowadays computers are in the middle of most economic transactions. These “computer-mediated transac...
Big Data refers to data sets of much larger size, higher frequency, and often more personalized info...
The Big Data Era creates a lot of exciting opportunities for new developments in economics and econo...
This paper discusses how firms use “big data” and the role and challenges for economists when gettin...
Although the terminology of Big Data has so far gained little traction in economics, the availabilit...
The increasing automation in data collection, either in structured or unstructured formats...
Today, the Big Data term has a multidimensional approach where five main characteristics stand out: ...
[¶EN] While the availability and accessibility of large data sources is a rich field for statistici...
The last decade has seen a growing trend of economists exploring how to extract different economic i...
Machine learning algorithms use big data to learn future trends and predict them for businesses. Mac...
Hundreds of new papers on big data are released every month and at times it is difficult to distingu...
Big Data, perceived as one of the breakthrough technological developments of our times, has the pote...
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented b...
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
The realm of big data is a very wide and varied one. We discuss old, new, small and big data, with s...
Nowadays computers are in the middle of most economic transactions. These “computer-mediated transac...
Big Data refers to data sets of much larger size, higher frequency, and often more personalized info...
The Big Data Era creates a lot of exciting opportunities for new developments in economics and econo...
This paper discusses how firms use “big data” and the role and challenges for economists when gettin...
Although the terminology of Big Data has so far gained little traction in economics, the availabilit...
The increasing automation in data collection, either in structured or unstructured formats...
Today, the Big Data term has a multidimensional approach where five main characteristics stand out: ...
[¶EN] While the availability and accessibility of large data sources is a rich field for statistici...
The last decade has seen a growing trend of economists exploring how to extract different economic i...
Machine learning algorithms use big data to learn future trends and predict them for businesses. Mac...
Hundreds of new papers on big data are released every month and at times it is difficult to distingu...
Big Data, perceived as one of the breakthrough technological developments of our times, has the pote...
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented b...
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
The realm of big data is a very wide and varied one. We discuss old, new, small and big data, with s...
Nowadays computers are in the middle of most economic transactions. These “computer-mediated transac...