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Full-Text Articles in Databases and Information Systems
Interposition Based Container Optimization For Data Intensive Applications, Rohan Tikmany
Interposition Based Container Optimization For Data Intensive Applications, Rohan Tikmany
College of Computing and Digital Media Dissertations
Reproducibility of applications is paramount in several scenarios such as collaborative work and software testing. Containers provide an easy way of addressing reproducibility by packaging the application's software and data dependencies into one executable unit, which can be executed multiple times in different environments. With the increased use of containers in industry as well as academia, current research has examined the provisioning and storage cost of containers and has shown that container deployments often include unnecessary software packages. Current methods to optimize the container size prune unnecessary data at the granularity of files and thus make binary decisions. We show …
Digital Dna: The Ethical Implications Of Big Data As The World’S New-Age Commodity, Clark H. Dotson
Digital Dna: The Ethical Implications Of Big Data As The World’S New-Age Commodity, Clark H. Dotson
Honors Theses
In the emerging digital world that we find ourselves in, it becomes apparent that data collection has become a staple of daily life, whether we like it or not. This research discussion aims to bring light to just how much one’s own digital identity is valued in the technologically-infused world of today, with distinct research and local examples to bring awareness to the ethical implications of your online presence. The paper in question examines anecdotal and research evidence of the collection of data, both through true and unjust means, as well as ethical implications of what this information truly represents. …
A Study Of The Impact Of Data Intelligence On Software Delivery Performance, Yongdong Dong
A Study Of The Impact Of Data Intelligence On Software Delivery Performance, Yongdong Dong
Dissertations and Theses Collection (Open Access)
With the rise of big data and artificial intelligence, data intelligence has gradually become the focus of academia and industry. Data intelligence has two obvious characteristics: big data drive and application scene drive. More and more enterprises extract valuable patterns contained in data with prediction and decision analysis methods and technologies such as large-scale data mining, machine learning and deep learning and use them to improve the management and decision in complex practice, so as to promote changes of new business modes, organizational structures and even business strategies, and improve the operational efficiency of organizations. However, there are few studies …
Assessing Spurious Correlations In Big Search Data, Jesse T. Richman, Ryan J. Roberts
Assessing Spurious Correlations In Big Search Data, Jesse T. Richman, Ryan J. Roberts
Political Science & Geography Faculty Publications
Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phenomena, measures that might serve an important role as leading indicators in forecasts and nowcasts. However, it also presents vast new risks that scientists or the public will identify meaningless and totally spurious ‘relationships’ between variables. This study is the first to quantify that risk in the context of search data. We find that spurious correlations arise at exceptionally high frequencies among probability distributions examined for random variables based upon gamma (1, 1) and Gaussian random …