20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach

SMC Loureiro, J Guerreiro, F Ali - Tourism management, 2020‏ - Elsevier
Virtual reality (VR) and Augmented Reality (AR) have undergone technical evolutions over
the last few decades including improvements in immersion and the feeling of telepresence …

A survey of data mining and deep learning in bioinformatics

K Lan, D Wang, S Fong, L Liu, KKL Wong… - Journal of medical …, 2018‏ - Springer
The fields of medicine science and health informatics have made great progress recently
and have led to in-depth analytics that is demanded by generation, collection and …

dbscan: Fast density-based clustering with R

M Hahsler, M Piekenbrock, D Doran - Journal of Statistical Software, 2019‏ - jstatsoft.org
This article describes the implementation and use of the R package dbscan, which provides
complete and fast implementations of the popular density-based clustering algorithm …

[ספר][B] Data clustering: theory, algorithms, and applications

G Gan, C Ma, J Wu - 2020‏ - SIAM
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

Cluster analysis for gene expression data: a survey

D Jiang, C Tang, A Zhang - IEEE Transactions on knowledge …, 2004‏ - ieeexplore.ieee.org
DNA microarray technology has now made it possible to simultaneously monitor the
expression levels of thousands of genes during important biological processes and across …

Clustering algorithms in biomedical research: a review

R Xu, DC Wunsch - IEEE reviews in biomedical engineering, 2010‏ - ieeexplore.ieee.org
Applications of clustering algorithms in biomedical research are ubiquitous, with typical
examples including gene expression data analysis, genomic sequence analysis, biomedical …

[ספר][B] Temporal data mining

T Mitsa - 2010‏ - taylorfrancis.com
From basic data mining concepts to state-of-the-art advances, this book covers the theory of
the subject as well as its application in a variety of fields. It discusses the incorporation of …

Gene expression profile classification: a review

MH Asyali, D Colak, O Demirkaya… - Current …, 2006‏ - ingentaconnect.com
In this review, we have discussed the class-prediction and discovery methods that are
applied to gene expression data, along with the implications of the findings. We attempted to …

Recognition of cancer mediating biomarkers using rough approximations enabled intuitionistic fuzzy soft sets based similarity measure

SK Ghosh, A Ghosh, S Bhattacharyya - Applied Soft Computing, 2022‏ - Elsevier
In recent years, gene expression analysis has become crucial in studying microarray and
provides several techniques related to computational biology and bioinformatics. This article …

Density peaks clustering with gap-based automatic center detection

KG Flores, SE Garza - Knowledge-Based Systems, 2020‏ - Elsevier
Clustering is a task used to group data from variegated sources, including Big Data, the
Internet of Things, and social media. Density peaks clustering (DPC) has become a popular …