Marine Wireless Big Data: Efficient Transmission, Related Applications, and Challenges

An Efficient Approach on Spatial Big Data Related to Wireless Networks and Its Applications

Spatial big data acts as a important key role in wireless networks applications. In that spatial and spatio temporal problems contains the distinct role in big data and it’s compared to common relational problems. If we are solving those problems means describing the three applications for spatial big data. In each applications imposing the specific design and we are developing our work on high...

Big Healthcare Data Analytics: Challenges and Applications

Increasing demand and costs for healthcare, exacerbated by ageing populations and a great shortage of doctors, are serious concerns worldwide. Consequently, this has generated a great amount of motivation in providing better healthcare through smarter healthcare systems. Management and processing of healthcare data are challenging due to various factors that are inherent in the data itself such...

Challenges in Low-Cost Wireless Data Transmission

Big Data in Supply Chain Management - Applications, Challenges and Benefits

This paper focuses on Big Data (BD) applications, challenges and benefits (ACBs) in Supply Chain Management (SCM). While BD-related research has attracted a growing number of Business Intelligence and Analytics (BI&A) researchers, SCM-specific research on BD is yet to receive their full attention. By combining relevant frameworks from SCM and BI&A, this paper proposes a new research framework f...

Geospatial Analytics for Big Spatiotemporal Data: Algorithms, Applications, and Challenges

Explosive growth in the spatial and spatiotemporal data and the emergence of social media and location sensing technologies emphasize the need for developing new and computationally efficient geospatial analytics tailored for analyzing big data. In this white paper, we review major spatial data mining algorithms by closely looking at the computational and I/O requirements and allude to few appl...