Challenges to use machine learning in agricultural big data: a systematic literature review
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 …
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 …
models. It leads to opportunities as well as challenges, especially for IT departments as core …
Data lakes: A survey of functions and systems
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 …
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …
Can we share models if sharing data is not an option?
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 …
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
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 …
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 …
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
In telecommunications, Performance Management (PM) data are collected from network
elements to a centralized system, the Network Management System (NMS), which acts as a …
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 …
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 …
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
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 …
comes from different resources and services that produce a big volume of data that need to …