K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …
AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems
IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
[HTML][HTML] Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study
RA Evans, HJC McAuley, EM Harrison… - The Lancet …, 2021 - thelancet.com
Background The impact of COVID-19 on physical and mental health and employment after
hospitalisation with acute disease is not well understood. The aim of this study was to …
hospitalisation with acute disease is not well understood. The aim of this study was to …
Machine learning: Algorithms, real-world applications and research directions
IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …
The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
The k-means clustering algorithm is considered one of the most powerful and popular data
mining algorithms in the research community. However, despite its popularity, the algorithm …
mining algorithms in the research community. However, despite its popularity, the algorithm …
Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective
IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …
health data, mobile data, urban data, security data, and many more, in the current age of the …
Unsupervised learning methods for molecular simulation data
Unsupervised learning is becoming an essential tool to analyze the increasingly large
amounts of data produced by atomistic and molecular simulations, in material science, solid …
amounts of data produced by atomistic and molecular simulations, in material science, solid …
Ai-driven cybersecurity: an overview, security intelligence modeling and research directions
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …
[HTML][HTML] Mining the text of online consumer reviews to analyze brand image and brand positioning
M Alzate, M Arce-Urriza, J Cebollada - Journal of Retailing and Consumer …, 2022 - Elsevier
The growth of the Internet has led to massive availability of online consumer reviews. So far,
papers studying online reviews have mainly analysed how non-textual features, such as …
papers studying online reviews have mainly analysed how non-textual features, such as …
Unsupervised K-means clustering algorithm
The k-means algorithm is generally the most known and used clustering method. There are
various extensions of k-means to be proposed in the literature. Although it is an …
various extensions of k-means to be proposed in the literature. Although it is an …