Pattern mining from big IoT data with fog computing: models, issues, and research perspectives
P Braun, A Cuzzocrea, CK Leung… - 2019 19th IEEE/ACM …, 2019 - ieeexplore.ieee.org
As we are living in the era of big data, huge volumes of a wide variety of complex data-which
can be of different levels of veracity-are generated or collected at a high velocity from rich …
can be of different levels of veracity-are generated or collected at a high velocity from rich …
A big data science solution for analytics on moving objects
IM Anderson-Grégoire, KA Horner, CK Leung… - International Conference …, 2021 - Springer
Biodiversity data (eg, for aquatic organisms, marine creatures and terrestrial animals) and
environmental data (eg, air pollution statistics, water supply and sanitation information, soil …
environmental data (eg, air pollution statistics, water supply and sanitation information, soil …
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
T Nibareke, J Laassiri - Journal of Big Data, 2020 - Springer
Introduction Nowadays large data volumes are daily generated at a high rate. Data from
health system, social network, financial, government, marketing, bank transactions as well …
health system, social network, financial, government, marketing, bank transactions as well …
Adaptive machine learning algorithm and analytics of big genomic data for gene prediction
Artificial intelligence helps in tracking and preventing diseases. For instance, machine
learning algorithms can analyze big genomic data and predict genes, which helps …
learning algorithms can analyze big genomic data and predict genes, which helps …
Smart data analytics on COVID-19 data
CK Leung, C Zhao, H Zheng - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Advances in computers, information and networks has brought a digital cyber world to our
daily lives. They have generated numerous digital things (or cyber entities), which have …
daily lives. They have generated numerous digital things (or cyber entities), which have …
Spatial data science of COVID-19 data
Huge amounts of big data can be generated and collected from a wide variety of rich data
sources. Embedded in these big data are useful information and valuable knowledge. An …
sources. Embedded in these big data are useful information and valuable knowledge. An …
[HTML][HTML] Discovering computer networks intrusion using data analytics and machine intelligence
OA Sarumi, AO Adetunmbi, FA Adetoye - Scientific African, 2020 - Elsevier
In this era of a digital revolution, the use of the Internet for information storage, access, and
dissemination has increased astronomically. Also, the advent of the Internet of Things (IoT) …
dissemination has increased astronomically. Also, the advent of the Internet of Things (IoT) …
Exploiting anti-monotonic constraints in mining palindromic motifs from big genomic data
The advent of high-throughput technologies such as Illumina HiSeq X, mass spectrometry,
and microarray heralds a new era of big biological datasets in computational biology. This …
and microarray heralds a new era of big biological datasets in computational biology. This …
Predictive analytics on genomic data with high-performance computing
Recent technological advancements and scientific discoveries have revolutionized the
current era of genomics. Next-generation sequencing (NGS) technologies have led to …
current era of genomics. Next-generation sequencing (NGS) technologies have led to …
Machine learning-based big data analytics framework for ebola outbreak surveillance
OA Sarumi - International Conference on Intelligent Systems Design …, 2020 - Springer
In recent times, big data has become ubiquitous and can be employed to improve intelligent
decision making in diverse real-life application domains such as climatology, agriculture …
decision making in diverse real-life application domains such as climatology, agriculture …