Geospatial big data handling with high performance computing: Current approaches and future directions
Z Li - High Performance Computing for Geospatial …, 2020 - Springer
Geospatial big data plays a major role in the era of big data, as most data today are
inherently spatial, collected with ubiquitous location-aware sensors such as mobile apps …
inherently spatial, collected with ubiquitous location-aware sensors such as mobile apps …
Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap
In this day, in the age of big data, consumers leave an easily traceable digital footprint
whenever they visit a website online. Firms are interested in capturing the digital footprints of …
whenever they visit a website online. Firms are interested in capturing the digital footprints of …
How research in production and operations management may evolve in the era of big data
Q Feng, JG Shanthikumar - Production and Operations …, 2018 - journals.sagepub.com
We are living in an era in which data is generated in huge volume with high velocity and
variety. Big Data and technology are resha** our life and business. Our research …
variety. Big Data and technology are resha** our life and business. Our research …
Emerging trend of big data analytics in bioinformatics: a literature review
K Nagaraj, GS Sharvani… - International Journal of …, 2018 - inderscienceonline.com
Advancement of unparalleled data in bioinformatics over the years is a major concern for
storage and management. Such massive data must be handled efficiently to disseminate …
storage and management. Such massive data must be handled efficiently to disseminate …
[PDF][PDF] XSEDE cloud survey report
A National Science Foundation-sponsored cloud user survey was conducted from
September 2012 to April 2013 by the XSEDE Cloud Integration Investigation Team to better …
September 2012 to April 2013 by the XSEDE Cloud Integration Investigation Team to better …
Applications of hadoop ecosystems tools
This chapter aims to provide readers the guidance in selecting appropriate Hadoop tools. It
shows how different data-intensive problems, irrespective of their field, can be modeled to …
shows how different data-intensive problems, irrespective of their field, can be modeled to …
Landscape of big medical data: a pragmatic survey on prioritized tasks
Big medical data pose great challenges to life scientists, clinicians, computer scientists, and
engineers. In this paper, a group of life scientists, clinicians, computer scientists, and …
engineers. In this paper, a group of life scientists, clinicians, computer scientists, and …
[КНИГА][B] Large-scale spatial data management on modern parallel and distributed platforms
S You - 2016 - search.proquest.com
Rapidly growing volume of spatial data has made it desirable to develop efficient techniques
for managing large-scale spatial data. Traditional spatial data management techniques …
for managing large-scale spatial data. Traditional spatial data management techniques …
System and method associated with progressive spatial analysis of prodigious 3D data including complex structures
A system associated with progressive spatial analysis of prodigious 3D data including
complex structures is disclosed. The system receives minimum boundary information related …
complex structures is disclosed. The system receives minimum boundary information related …
[PDF][PDF] Building database of WEBGIS for the exchange of marine data between Vietnam and ASEAN countries
BTB Anh, NT Nhan - Vietnam Journal of Marine Science and …, 2019 - core.ac.uk
The system of oceanic database management and exchange is built with the purpose of
exchanging the oceanic data between Vietnam and other ASEAN countries. The system can …
exchanging the oceanic data between Vietnam and other ASEAN countries. The system can …