Results 51 to 60 of about 25,322,466 (386)

Existence of Solutions for a Coupled System of p-Laplacian Caputo–Hadamard Fractional Sturm–Liouville–Langevin Equations with Antiperiodic Boundary Conditions

Journal of Mathematics, 2022
Fractional Sturm–Liouville and Langevin equations have recently attracted much attention. In this paper, we investigate a coupled system of fractional Sturm–Liouville–Langevin equations with antiperiodic boundary conditions in the framework of Caputo ...
Jinbo Ni, Jifeng Zhang, Wei Zhang
doaj   +1 more source

How big is big data?

Faraday Discussions
The advent of larger datasets in materials science poses unique challenges in modeling, infrastructure, and data diversity and quality.
Daniel Speckhard, Tim Bechtel, Luca M. Ghiringhelli, Martin Kuban, Santiago Rigamonti, Claudia Draxl   +5 more
openaire   +4 more sources

How Big Is Big Data?

, 2021
The advent of Big Data is a recent and debated issue in Digital Archaeology. The term 'Big Data' was introduced about 15 years ago, as a consequence of the impact of the Internet's expansion, which in turn inaugurated the era of Information Age. The shift in scale of data volume in archaeology and the need for new analytical methods and techniques are ...
openaire   +3 more sources

Big Data's Disparate Impact

, 2016
Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is only as good as the data it works with.
Solon Barocas, Andrew D. Selbst
semanticscholar   +1 more source

A literature review on one-class classification and its potential applications in big data

Journal of Big Data, 2021
In severely imbalanced datasets, using traditional binary or multi-class classification typically leads to bias towards the class(es) with the much larger number of instances.
Naeem Seliya, Azadeh Abdollah Zadeh, T. Khoshgoftaar   +2 more
semanticscholar   +1 more source

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking

, 2014
Data generation is a key issue in big data benchmarking that aims to generate application-specific data sets to meet the 4V requirements of big data. Specifically, big data generators need to generate scalable data (Volume) of different types (Variety ...
C Luo, DM Blei, J Leskovec, J Leskovec, J-M Fourneau, LA Barroso, T Rabl, Z Jia   +7 more
core   +1 more source

Big Data Management in Education Sector: an Overview [PDF]

, 2019
The advancement in technological innovation has given rise to a new trend known as Big Data today. Given the soaring popularity of big data technology, organisations are profoundly attracted to and interested in it to transform their organisation by ...
Nda, Ramatu Muhammad, Tasmin, Rosmaini Bin   +1 more
core   +2 more sources

Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

Journal of Big Data, 2020
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing attention. This is due to the fact that BDA has a wide range of applications in SCM, including customer behavior analysis, trend analysis, and demand prediction.
M. Seyedan, Fereshteh Mafakheri
semanticscholar   +1 more source

Big Data Dimensional Analysis

, 2014
The ability to collect and analyze large amounts of data is a growing problem within the scientific community. The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety ...
Gadepally, Vijay, Kepner, Jeremy
core   +1 more source

Big Data Coordination Platform: Full Proposal 2017-2022 [PDF]

, 2016
This proposal for a Big Data and ICT Platform therefore focuses on enhancing CGIAR and partner capacity to deliver big data management, analytics and ICT-focused solutions to CGIAR target geographies and communities.
CGIAR Platform for Big Data in Agriculture
core