A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models. machine-learningcompressed-sensingsymbolic-regressionmaterial-sciencebig-data-analytics UpdatedSep 20, 2024 Fortran Use CH-UI to work with your data from Click House self-hosted with a user-fri...
Understanding How Big Data Technologies Reconfigure the Nature and Organization of Financial Statement Audits: A Sociomaterial AnalysisAffordanceBig Data AnalyticsAuditorsSociomaterialityThis study focuses on the recent development in audit technologies, i.e. the rise of Big Data and Analytics (BDA) tools...
and innovative solutions to challenging Big Data Analytics, the conference seeks to advance the state-of-the-art in Big Data Analytics. Topics of Interest Topics of interest include, but are not limited to: Big Data Models and Algorithms Foundational Models for Big Data Algorithms and Programming...
We live in an age of "big data." Data have become the raw material of production, a new source for immense economic and social value. Advances in data mining and analytics and the massive increase in computing power and data storage capacity have expanded by orders of magnitude the scope ...
With big-data driven materials research, the new paradigm of materials science, sharing and wide accessibility of data are becoming crucial aspects. Obviously, a prerequisite for data exchange and big-data analytics is standardization, which means using
Section 4 is dedicated to the results of the study, while in Sect. 5, the major findings are described. Finally, Sect. 6 is dedicated to conclusions and limitations, providing suggestions for further research. 2 Literature background 2.1 Big data analytics (BDA) BDA is defined as a “...
2. A normative perspective of Big Data: challenges and analytical methods 3. Research methodology 4. Big Data and Big Data Analytics: findings and analysis 5. Conclusions Appendix A. ReferencesShow full outline Cited by (1384) Figures (11) Show 5 more figures Tables (1) TableJournal...
The interdisciplinary and fast-changing field of genomics involves the study of genetic material, including the structure and mapping of genomes. Rapid advancements in this field—made possible by leaps in HPC technologies—allow scientists today to process enormous quantities of genomic data, transfor...
Driven by the big data science, material informatics has attracted enormous research interests recently along with many recognized achievements. To acquire knowledge of materials by previous experience, both feature descriptors and datab... FQ Wang,K Choudhary,Y Liu,... - 《Scientific Data》 被引...
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