This paper provides a survey of big data analytics applications and associated implementation issues. The em- phasis is placed on applications that are …
Links Category: Big Data Analytics
Big data analytics and early warning signs – ESReDA
Challenges and risks to the effective use of big data analytics . . . 187. 10.6.1 Level of confidence in predictions .
New Frontiers for Big Data Analytics Research – DROPS
Abstract. Big data analytics is an emerging research area with many sophisticated contributions in the actual literature. Big data analytics aims at …
Streaming Big Data Analytics- Current Status, Challenges and …
Abstract— A strategy of examining immense dimensions of structured, un-structured, Semi-Structured data sets is referred as Big data Analytics.
FogLearn: Leveraging Fog-based Machine Learning for Smart …
Big data analytics with the cloud computing are one of the emerging area for processing and analytics. Fog computing is the paradigm where fog devices help …
Big Data Analytics Data to Artificial Intelligence for GPFS
Abstract. This document describes how to move data from big-data analytics and high-performance computing (HPC) systems so that it can be used in artificial …
Strategies to Implement Big Data Analytics in …
This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies. Collection at ScholarWorks.
Blending Big Data Analytics: Review on Challenges and a …
ABSTRACT With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations.
Geog 573: Advanced Geocomputing & Geospatial Big Data …
Overview. Geospatial Big Data is an extension to the concept of Big Data with emphasis on the geospatial component and under the context of geography or …
How big data analytics revolutionises the strategic decision …
Background: Digital technologies are increasingly transforming traditional businesses, and their pervasive impact is leading to a radical restructuring of …