The potential of big data research in healthcare for medical doctors' learning
M Au-Yong-Oliveira, A Pesqueira, MJ Sousa… - Journal of Medical …, 2021 - Springer
The main goal of this article is to identify the main dimensions of a model proposal for
increasing the potential of big data research in Healthcare for medical doctors'(MDs') …
increasing the potential of big data research in Healthcare for medical doctors'(MDs') …
[HTML][HTML] A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
SBI model for the detection of advanced persistent threat based on strange behavior of using credential dumping technique
This study investigated the shift from the manual approach of processing data to the digitized
method making organizational data prone to attack by cybercriminals. The latest threat …
method making organizational data prone to attack by cybercriminals. The latest threat …
A survey on the roles of bloom filter in implementation of the named data networking
Today is the era of smart devices. Through smart devices, people remain connected with
each other across the globe. But, it led the current Internet towards scalability issues …
each other across the globe. But, it led the current Internet towards scalability issues …
Passdb: A password database with strict privacy protocol using 3d bloom filter
A Bloom filter is a probabilistic data structure for approximate membership filtering. It is
applied in diverse Network systems to enhance a system's performance and reduce the …
applied in diverse Network systems to enhance a system's performance and reduce the …
eBF: an enhanced Bloom Filter for intrusion detection in IoT
Intrusion Detection is essential to identify malicious incidents and continuously alert many
users of the Internet of Things (IoT). The constant monitoring of events generated from many …
users of the Internet of Things (IoT). The constant monitoring of events generated from many …
robustBF: A high accuracy and memory efficient 2d bloom filter
Bloom Filter is an important probabilistic data structure to reduce memory consumption for
membership filters. It is applied in diverse domains such as Computer Networking, Network …
membership filters. It is applied in diverse domains such as Computer Networking, Network …
Content-Based Approach for Improving Bloom Filter Efficiency
Bloom filters are a type of data structure that is used to test whether or not an element is a
member of a set. They are known for being space-efficient and are commonly employed in …
member of a set. They are known for being space-efficient and are commonly employed in …
[PDF][PDF] The impact of check bits on the performance of bloom filter
Bloom filter (BF) is a space-and-time efficient probabilistic technique that helps answer
membership queries. However, BF faces several issues. The problems with traditional BF …
membership queries. However, BF faces several issues. The problems with traditional BF …