Challenges to use machine learning in agricultural big data: a systematic literature review

A Cravero, S Pardo, S Sepúlveda, L Muñoz - Agronomy, 2022 - mdpi.com
Agricultural Big Data is a set of technologies that allows responding to the challenges of the
new data era. In conjunction with machine learning, farmers can use data to address …

How digitalization affects insurance companies: overview and use cases of digital technologies

C Eckert, K Osterrieder - Zeitschrift für die gesamte …, 2020 - Springer
The digital transformation is of increasing relevance for insurance companies' business
models. It leads to opportunities as well as challenges, especially for IT departments as core …

Data lakes: A survey of functions and systems

R Hai, C Koutras, C Quix… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

Can we share models if sharing data is not an option?

Z Li, F Mao, C Wu - Patterns, 2022 - cell.com
In the big data era, vast volumes of data are generated daily as the foundation of data-driven
scientific discovery. Thanks to the recent open data movement, much of these data are being …

Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics

X Jiang, Y Cheng, Z Song, X Ma… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Industrial intelligent systems (IIS) play a huge role in modern industry, and their intelligent
models of IIS enable diagnosis of faults, key performance indicator (KPI) prediction, and …

Data lakes in healthcare: applications and benefits from the perspective of data sources and players

T Gentner, T Neitzel, J Schulze, F Gerschner… - Procedia Computer …, 2023 - Elsevier
As the amount of available data in healthcare has increased significantly and only 20% of
electronic health record data are in a structured format, data lakes have become a common …

Development and evaluation of a big data framework for performance management in mobile networks

D Martinez-Mosquera, R Navarrete… - IEEE Access, 2020 - ieeexplore.ieee.org
In telecommunications, Performance Management (PM) data are collected from network
elements to a centralized system, the Network Management System (NMS), which acts as a …

A novel technology for harmonizing and analyzing cancer data. Observations from integrating health connect in Newfoundland and Labrador, Canada

JJ Dowden, RW Pretty, JM Shea… - Health Informatics …, 2024 - journals.sagepub.com
Objective: This article aims to describe the implementation of a new health information
technology system called Health Connect that is harmonizing cancer data in the Canadian …

Enterprise data architectures into a unified and secure platform: Strategies for redundancy mitigation and optimized access governance

SV Bhaskaran - International Journal of Advanced Cybersecurity …, 2019 - theaffine.com
Enterprises accumulate heterogeneous data architectures over time as legacy systems,
cloud-based applications, and departmental data marts expand without coordinated …

[PDF][PDF] Machine Learning Technique For Enhancing Classification Performance In Data Summarization Using Rough Set And Genetic Algorithm

M Wibowo, F Noviyanto, S Sulaiman… - Int. J. Sci. Technol …, 2019 - researchgate.net
The number of data will grow rapidly and showed a significant increase every day. This data
comes from different resources and services that produce a big volume of data that need to …